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In [1]:

    
import numpy as np
from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
from keras.callbacks import TensorBoard
import random









    



Using TensorFlow backend.



In [13]:

    
WIDTH = 400
HEIGHT = 200
img_rows, img_cols = WIDTH, HEIGHT
input_shape = (WIDTH,HEIGHT,1)
LR = 1e-3
EPOCHS = 150
MODEL_NAME = 'new_slither-{}-{}-{}-epochs.model'.format(LR, 'convnets',EPOCHS)



In [14]:

    
model = Sequential()
#model.add(Conv2D(32, kernel_size=(3, 3),
#                 activation=keras.activations.relu,
#                 input_shape=input_shape, strides=(1,1)))
#model.add(Conv2D(64, (3, 3), activation=keras.activations.relu))
#model.add(MaxPooling2D(pool_size=(2, 2)))
#model.add(Dropout(0.25))
#model.add(Flatten())
#model.add(Dense(128, activation=keras.activations.relu))
#model.add(Dropout(0.5))
#model.add(Dense(1))
#model.summary()
model.add(Conv2D(24, (5, 5), activation='elu', strides=(2, 2), input_shape=input_shape,))
model.add(Conv2D(36, (5, 5), activation='elu', strides=(2, 2)))
model.add(Conv2D(48, (5, 5), activation='elu', strides=(2, 2)))
model.add(Conv2D(64, (3, 3), activation='elu'))
model.add(Conv2D(64, (3, 3), activation='elu'))
model.add(Dropout(0.5))
model.add(Flatten())
model.add(Dense(100, activation='elu'))
model.add(Dense(50, activation='elu'))
model.add(Dense(10, activation='elu'))
model.add(Dense(9, activation='softmax'))
model.summary()









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_11 (Conv2D)           (None, 198, 98, 24)       624       
_________________________________________________________________
conv2d_12 (Conv2D)           (None, 97, 47, 36)        21636     
_________________________________________________________________
conv2d_13 (Conv2D)           (None, 47, 22, 48)        43248     
_________________________________________________________________
conv2d_14 (Conv2D)           (None, 45, 20, 64)        27712     
_________________________________________________________________
conv2d_15 (Conv2D)           (None, 43, 18, 64)        36928     
_________________________________________________________________
dropout_3 (Dropout)          (None, 43, 18, 64)        0         
_________________________________________________________________
flatten_3 (Flatten)          (None, 49536)             0         
_________________________________________________________________
dense_9 (Dense)              (None, 100)               4953700   
_________________________________________________________________
dense_10 (Dense)             (None, 50)                5050      
_________________________________________________________________
dense_11 (Dense)             (None, 10)                510       
_________________________________________________________________
dense_12 (Dense)             (None, 9)                 99        
=================================================================
Total params: 5,089,507
Trainable params: 5,089,507
Non-trainable params: 0
_________________________________________________________________



In [17]:

    
model.load_weights('new_slither-0.001-convnets-200-epochs.model')



In [ ]:

    
from keras.optimizers import Adam
file = 0
FILES=39
data_order = [i for i in range(0, FILES)]
file_name = 'slither_data_new-{}.npy'.format(file)
for i in range(0, FILES):
    file_name = 'slither_data_new-{}.npy'.format(i)
    print (file_name)
    train_data = np.load(file_name)
    train=train_data
    X = np.array([i[0] for i in train]).reshape(-1, WIDTH, HEIGHT, 1)
    X = X.astype('float32')/127.0 - 1
    Y = [i[1] for i in train]
    real_Y = keras.utils.to_categorical(Y, num_classes=9)
    print (X.shape, train.shape)
    model.compile(optimizer=Adam(lr=LR), loss='categorical_crossentropy',   metrics=['accuracy'])
    #test_y = [j[1] for j in test]
    model.fit(X, real_Y, epochs=EPOCHS, batch_size=75,
             verbose=1, validation_split=0.1,  callbacks=[TensorBoard(log_dir='./logs/', write_images=True)])









    



slither_data_new-0.npy
(1500, 400, 200, 1) (1500, 2)
Train on 1350 samples, validate on 150 samples
Epoch 1/150
1350/1350 [==============================] - 79s - loss: 2.5897 - acc: 0.0904 - val_loss: 2.4350 - val_acc: 0.0600
Epoch 2/150
1350/1350 [==============================] - 86s - loss: 2.3525 - acc: 0.0904 - val_loss: 2.2023 - val_acc: 0.0600
Epoch 3/150
1350/1350 [==============================] - 99s - loss: 2.1522 - acc: 0.0904 - val_loss: 2.0120 - val_acc: 0.0600
Epoch 4/150
1350/1350 [==============================] - 92s - loss: 1.9920 - acc: 0.1178 - val_loss: 1.8652 - val_acc: 0.4533
Epoch 5/150
1350/1350 [==============================] - 88s - loss: 1.8697 - acc: 0.3222 - val_loss: 1.7547 - val_acc: 0.4533
Epoch 6/150
1350/1350 [==============================] - 85s - loss: 1.7773 - acc: 0.3222 - val_loss: 1.6745 - val_acc: 0.4533
Epoch 7/150
1350/1350 [==============================] - 89s - loss: 1.7091 - acc: 0.3222 - val_loss: 1.6190 - val_acc: 0.4533
Epoch 8/150
1350/1350 [==============================] - 83s - loss: 1.6607 - acc: 0.3222 - val_loss: 1.5780 - val_acc: 0.4533
Epoch 9/150
1350/1350 [==============================] - 84s - loss: 1.6246 - acc: 0.3222 - val_loss: 1.5501 - val_acc: 0.4533
Epoch 10/150
1350/1350 [==============================] - 100s - loss: 1.5985 - acc: 0.3222 - val_loss: 1.5312 - val_acc: 0.4533
Epoch 11/150
1350/1350 [==============================] - 109s - loss: 1.5803 - acc: 0.3222 - val_loss: 1.5177 - val_acc: 0.4533
Epoch 12/150
1350/1350 [==============================] - 107s - loss: 1.5671 - acc: 0.3222 - val_loss: 1.5054 - val_acc: 0.4533
Epoch 13/150
1350/1350 [==============================] - 107s - loss: 1.5571 - acc: 0.3222 - val_loss: 1.4977 - val_acc: 0.4533
Epoch 14/150
1350/1350 [==============================] - 107s - loss: 1.5501 - acc: 0.3222 - val_loss: 1.4928 - val_acc: 0.4533
Epoch 15/150
1350/1350 [==============================] - 108s - loss: 1.5451 - acc: 0.3222 - val_loss: 1.4849 - val_acc: 0.4533
Epoch 16/150
1350/1350 [==============================] - 103s - loss: 1.5406 - acc: 0.3222 - val_loss: 1.4827 - val_acc: 0.4533
Epoch 17/150
1350/1350 [==============================] - 77s - loss: 1.5371 - acc: 0.3222 - val_loss: 1.4789 - val_acc: 0.4533
Epoch 18/150
1350/1350 [==============================] - 77s - loss: 1.5346 - acc: 0.3222 - val_loss: 1.4764 - val_acc: 0.4533
Epoch 19/150
1350/1350 [==============================] - 77s - loss: 1.5325 - acc: 0.3222 - val_loss: 1.4737 - val_acc: 0.4533
Epoch 20/150
1350/1350 [==============================] - 77s - loss: 1.5307 - acc: 0.3222 - val_loss: 1.4735 - val_acc: 0.4533
Epoch 21/150
1350/1350 [==============================] - 77s - loss: 1.5292 - acc: 0.3222 - val_loss: 1.4723 - val_acc: 0.4533
Epoch 22/150
1350/1350 [==============================] - 77s - loss: 1.5281 - acc: 0.3222 - val_loss: 1.4700 - val_acc: 0.4533
Epoch 23/150
1350/1350 [==============================] - 77s - loss: 1.5270 - acc: 0.3222 - val_loss: 1.4700 - val_acc: 0.4533
Epoch 24/150
1350/1350 [==============================] - 77s - loss: 1.5261 - acc: 0.3222 - val_loss: 1.4704 - val_acc: 0.4533
Epoch 25/150
1350/1350 [==============================] - 78s - loss: 1.5255 - acc: 0.3222 - val_loss: 1.4671 - val_acc: 0.4533
Epoch 26/150
1350/1350 [==============================] - 77s - loss: 1.5247 - acc: 0.3222 - val_loss: 1.4688 - val_acc: 0.4533
Epoch 27/150
1350/1350 [==============================] - 77s - loss: 1.5240 - acc: 0.3222 - val_loss: 1.4672 - val_acc: 0.4533
Epoch 28/150
1350/1350 [==============================] - 77s - loss: 1.5235 - acc: 0.3222 - val_loss: 1.4667 - val_acc: 0.4533
Epoch 29/150
1350/1350 [==============================] - 78s - loss: 1.5229 - acc: 0.3222 - val_loss: 1.4683 - val_acc: 0.4533
Epoch 30/150
1350/1350 [==============================] - 78s - loss: 1.5227 - acc: 0.3222 - val_loss: 1.4704 - val_acc: 0.4533
Epoch 31/150
1350/1350 [==============================] - 77s - loss: 1.5224 - acc: 0.3222 - val_loss: 1.4664 - val_acc: 0.4533
Epoch 32/150
1350/1350 [==============================] - 78s - loss: 1.5220 - acc: 0.3222 - val_loss: 1.4664 - val_acc: 0.4533
Epoch 33/150
1350/1350 [==============================] - 77s - loss: 1.5218 - acc: 0.3222 - val_loss: 1.4698 - val_acc: 0.4533
Epoch 34/150
1350/1350 [==============================] - 77s - loss: 1.5215 - acc: 0.3222 - val_loss: 1.4663 - val_acc: 0.4533
Epoch 35/150
1350/1350 [==============================] - 77s - loss: 1.5215 - acc: 0.3222 - val_loss: 1.4672 - val_acc: 0.4533
Epoch 36/150
1350/1350 [==============================] - 75s - loss: 1.5210 - acc: 0.3222 - val_loss: 1.4670 - val_acc: 0.4533
Epoch 37/150
1350/1350 [==============================] - 75s - loss: 1.5211 - acc: 0.3222 - val_loss: 1.4678 - val_acc: 0.4533
Epoch 38/150
1350/1350 [==============================] - 75s - loss: 1.5209 - acc: 0.3222 - val_loss: 1.4699 - val_acc: 0.4533
Epoch 39/150
1350/1350 [==============================] - 75s - loss: 1.5207 - acc: 0.3222 - val_loss: 1.4678 - val_acc: 0.4533
Epoch 40/150
1350/1350 [==============================] - 75s - loss: 1.5205 - acc: 0.3222 - val_loss: 1.4683 - val_acc: 0.4533
Epoch 41/150
1350/1350 [==============================] - 75s - loss: 1.5203 - acc: 0.3222 - val_loss: 1.4681 - val_acc: 0.4533
Epoch 42/150
1350/1350 [==============================] - 78s - loss: 1.5202 - acc: 0.3222 - val_loss: 1.4675 - val_acc: 0.4533
Epoch 43/150
1350/1350 [==============================] - 77s - loss: 1.5204 - acc: 0.3222 - val_loss: 1.4676 - val_acc: 0.4533
Epoch 44/150
1350/1350 [==============================] - 76s - loss: 1.5204 - acc: 0.3222 - val_loss: 1.4722 - val_acc: 0.4533
Epoch 45/150
1350/1350 [==============================] - 78s - loss: 1.5202 - acc: 0.3222 - val_loss: 1.4673 - val_acc: 0.4533
Epoch 46/150
1350/1350 [==============================] - 75s - loss: 1.5201 - acc: 0.3222 - val_loss: 1.4656 - val_acc: 0.4533
Epoch 47/150
1350/1350 [==============================] - 75s - loss: 1.5205 - acc: 0.3222 - val_loss: 1.4734 - val_acc: 0.4533
Epoch 48/150
1350/1350 [==============================] - 75s - loss: 1.5197 - acc: 0.3222 - val_loss: 1.4703 - val_acc: 0.4533
Epoch 49/150
1350/1350 [==============================] - 75s - loss: 1.5198 - acc: 0.3222 - val_loss: 1.4664 - val_acc: 0.4533
Epoch 50/150
1350/1350 [==============================] - 75s - loss: 1.5196 - acc: 0.3222 - val_loss: 1.4689 - val_acc: 0.4533
Epoch 51/150
1350/1350 [==============================] - 75s - loss: 1.5196 - acc: 0.3222 - val_loss: 1.4678 - val_acc: 0.4533
Epoch 52/150
1350/1350 [==============================] - 75s - loss: 1.5196 - acc: 0.3222 - val_loss: 1.4711 - val_acc: 0.4533
Epoch 53/150
1350/1350 [==============================] - 75s - loss: 1.5195 - acc: 0.3222 - val_loss: 1.4711 - val_acc: 0.4533
Epoch 54/150
1350/1350 [==============================] - 75s - loss: 1.7636 - acc: 0.3111 - val_loss: 1.4681 - val_acc: 0.4533
Epoch 55/150
1350/1350 [==============================] - 75s - loss: 1.5195 - acc: 0.3222 - val_loss: 1.4701 - val_acc: 0.4533
Epoch 56/150
1350/1350 [==============================] - 75s - loss: 1.5193 - acc: 0.3222 - val_loss: 1.4699 - val_acc: 0.4533
Epoch 57/150
1350/1350 [==============================] - 75s - loss: 1.5194 - acc: 0.3222 - val_loss: 1.4691 - val_acc: 0.4533
Epoch 58/150
1350/1350 [==============================] - 75s - loss: 1.5194 - acc: 0.3222 - val_loss: 1.4685 - val_acc: 0.4533
Epoch 59/150
1350/1350 [==============================] - 74s - loss: 1.5193 - acc: 0.3222 - val_loss: 1.4690 - val_acc: 0.4533
Epoch 60/150
1350/1350 [==============================] - 75s - loss: 1.5194 - acc: 0.3222 - val_loss: 1.4698 - val_acc: 0.4533
Epoch 61/150
1350/1350 [==============================] - 75s - loss: 1.5197 - acc: 0.3222 - val_loss: 1.4741 - val_acc: 0.4533
Epoch 62/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4710 - val_acc: 0.4533
Epoch 63/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4688 - val_acc: 0.4533
Epoch 64/150
1350/1350 [==============================] - 75s - loss: 1.5193 - acc: 0.3222 - val_loss: 1.4701 - val_acc: 0.4533
Epoch 65/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4690 - val_acc: 0.4533
Epoch 66/150
1350/1350 [==============================] - 75s - loss: 1.5194 - acc: 0.3222 - val_loss: 1.4726 - val_acc: 0.4533
Epoch 67/150
1350/1350 [==============================] - 75s - loss: 1.5197 - acc: 0.3222 - val_loss: 1.4682 - val_acc: 0.4533
Epoch 68/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4731 - val_acc: 0.4533
Epoch 69/150
1350/1350 [==============================] - 75s - loss: 1.5196 - acc: 0.3222 - val_loss: 1.4695 - val_acc: 0.4533
Epoch 70/150
1350/1350 [==============================] - 75s - loss: 1.5192 - acc: 0.3222 - val_loss: 1.4736 - val_acc: 0.4533
Epoch 71/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4733 - val_acc: 0.4533
Epoch 72/150
1350/1350 [==============================] - 75s - loss: 1.5195 - acc: 0.3222 - val_loss: 1.4685 - val_acc: 0.4533
Epoch 73/150
1350/1350 [==============================] - 74s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4729 - val_acc: 0.4533
Epoch 74/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4727 - val_acc: 0.4533
Epoch 75/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4739 - val_acc: 0.4533
Epoch 76/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4743 - val_acc: 0.4533
Epoch 77/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4725 - val_acc: 0.4533
Epoch 78/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4713 - val_acc: 0.4533
Epoch 79/150
1350/1350 [==============================] - 75s - loss: 1.5190 - acc: 0.3222 - val_loss: 1.4740 - val_acc: 0.4533
Epoch 80/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4733 - val_acc: 0.4533
Epoch 81/150
1350/1350 [==============================] - 74s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4722 - val_acc: 0.4533
Epoch 82/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4729 - val_acc: 0.4533
Epoch 83/150
1350/1350 [==============================] - 74s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4734 - val_acc: 0.4533
Epoch 84/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4744 - val_acc: 0.4533
Epoch 85/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4735 - val_acc: 0.4533
Epoch 86/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4742 - val_acc: 0.4533
Epoch 87/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4726 - val_acc: 0.4533
Epoch 88/150
1350/1350 [==============================] - 76s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4724 - val_acc: 0.4533
Epoch 89/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4745 - val_acc: 0.4533
Epoch 90/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4727 - val_acc: 0.4533
Epoch 91/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4755 - val_acc: 0.4533
Epoch 92/150
1350/1350 [==============================] - 75s - loss: 1.5189 - acc: 0.3222 - val_loss: 1.4707 - val_acc: 0.4533
Epoch 93/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4762 - val_acc: 0.4533
Epoch 94/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4754 - val_acc: 0.4533
Epoch 95/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4757 - val_acc: 0.4533
Epoch 96/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4721 - val_acc: 0.4533
Epoch 97/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4771 - val_acc: 0.4533
Epoch 98/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4758 - val_acc: 0.4533
Epoch 99/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4758 - val_acc: 0.4533
Epoch 100/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4751 - val_acc: 0.4533
Epoch 101/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4745 - val_acc: 0.4533
Epoch 102/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4753 - val_acc: 0.4533
Epoch 103/150
1350/1350 [==============================] - 75s - loss: 1.5190 - acc: 0.3222 - val_loss: 1.4741 - val_acc: 0.4533
Epoch 104/150
1350/1350 [==============================] - 75s - loss: 1.5190 - acc: 0.3222 - val_loss: 1.4776 - val_acc: 0.4533
Epoch 105/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4747 - val_acc: 0.4533
Epoch 106/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4761 - val_acc: 0.4533
Epoch 107/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4741 - val_acc: 0.4533
Epoch 108/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4795 - val_acc: 0.4533
Epoch 109/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4759 - val_acc: 0.4533
Epoch 110/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4743 - val_acc: 0.4533
Epoch 111/150
1350/1350 [==============================] - 75s - loss: 1.5190 - acc: 0.3222 - val_loss: 1.4783 - val_acc: 0.4533
Epoch 112/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4790 - val_acc: 0.4533
Epoch 113/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4745 - val_acc: 0.4533
Epoch 114/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4737 - val_acc: 0.4533
Epoch 115/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4803 - val_acc: 0.4533
Epoch 116/150
1350/1350 [==============================] - 74s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4772 - val_acc: 0.4533
Epoch 117/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4760 - val_acc: 0.4533
Epoch 118/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4730 - val_acc: 0.4533
Epoch 119/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4802 - val_acc: 0.4533
Epoch 120/150
1350/1350 [==============================] - 75s - loss: 1.5188 - acc: 0.3222 - val_loss: 1.4773 - val_acc: 0.4533
Epoch 121/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4793 - val_acc: 0.4533
Epoch 122/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4782 - val_acc: 0.4533
Epoch 123/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4766 - val_acc: 0.4533
Epoch 124/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4799 - val_acc: 0.4533
Epoch 125/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4785 - val_acc: 0.4533
Epoch 126/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4753 - val_acc: 0.4533
Epoch 127/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4797 - val_acc: 0.4533
Epoch 128/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4806 - val_acc: 0.4533
Epoch 129/150
1350/1350 [==============================] - 75s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4774 - val_acc: 0.4533
Epoch 130/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4791 - val_acc: 0.4533
Epoch 131/150
1350/1350 [==============================] - 75s - loss: 1.5182 - acc: 0.3222 - val_loss: 1.4775 - val_acc: 0.4533
Epoch 132/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4766 - val_acc: 0.4533
Epoch 133/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4794 - val_acc: 0.4533
Epoch 134/150
1350/1350 [==============================] - 75s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4773 - val_acc: 0.4533
Epoch 135/150
1350/1350 [==============================] - 75s - loss: 1.5192 - acc: 0.3222 - val_loss: 1.4826 - val_acc: 0.4533
Epoch 136/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4778 - val_acc: 0.4533
Epoch 137/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4760 - val_acc: 0.4533
Epoch 138/150
1350/1350 [==============================] - 77s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4788 - val_acc: 0.4533
Epoch 139/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4822 - val_acc: 0.4533
Epoch 140/150
1350/1350 [==============================] - 75s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4781 - val_acc: 0.4533
Epoch 141/150
1350/1350 [==============================] - 75s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4782 - val_acc: 0.4533
Epoch 142/150
1350/1350 [==============================] - 75s - loss: 1.5191 - acc: 0.3222 - val_loss: 1.4793 - val_acc: 0.4533
Epoch 143/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4813 - val_acc: 0.4533
Epoch 144/150
1350/1350 [==============================] - 75s - loss: 1.5186 - acc: 0.3222 - val_loss: 1.4801 - val_acc: 0.4533
Epoch 145/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4789 - val_acc: 0.4533
Epoch 146/150
1350/1350 [==============================] - 75s - loss: 1.5185 - acc: 0.3222 - val_loss: 1.4778 - val_acc: 0.4533
Epoch 147/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4820 - val_acc: 0.4533
Epoch 148/150
1350/1350 [==============================] - 75s - loss: 1.5183 - acc: 0.3222 - val_loss: 1.4791 - val_acc: 0.4533
Epoch 149/150
1350/1350 [==============================] - 75s - loss: 1.5184 - acc: 0.3222 - val_loss: 1.4816 - val_acc: 0.4533
Epoch 150/150
1350/1350 [==============================] - 75s - loss: 1.5187 - acc: 0.3222 - val_loss: 1.4784 - val_acc: 0.4533
slither_data_new-1.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5729 - acc: 0.3600 - val_loss: 1.3789 - val_acc: 0.4000
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5689 - acc: 0.3600 - val_loss: 1.3774 - val_acc: 0.4000
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5675 - acc: 0.3600 - val_loss: 1.3774 - val_acc: 0.4000
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5661 - acc: 0.3600 - val_loss: 1.3780 - val_acc: 0.4000
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5651 - acc: 0.3600 - val_loss: 1.3782 - val_acc: 0.4000
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.5644 - acc: 0.3600 - val_loss: 1.3787 - val_acc: 0.4000
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5637 - acc: 0.3600 - val_loss: 1.3802 - val_acc: 0.4000
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5628 - acc: 0.3600 - val_loss: 1.3816 - val_acc: 0.4000
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5622 - acc: 0.3600 - val_loss: 1.3826 - val_acc: 0.4000
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5617 - acc: 0.3600 - val_loss: 1.3839 - val_acc: 0.4000
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.5614 - acc: 0.3600 - val_loss: 1.3849 - val_acc: 0.4000
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.5614 - acc: 0.3600 - val_loss: 1.3854 - val_acc: 0.4000
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5606 - acc: 0.3600 - val_loss: 1.3863 - val_acc: 0.4000
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.5604 - acc: 0.3600 - val_loss: 1.3873 - val_acc: 0.4000
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5604 - acc: 0.3600 - val_loss: 1.3888 - val_acc: 0.4000
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5602 - acc: 0.3600 - val_loss: 1.3899 - val_acc: 0.4000
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5598 - acc: 0.3600 - val_loss: 1.3904 - val_acc: 0.4000
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.5596 - acc: 0.3600 - val_loss: 1.3906 - val_acc: 0.4000
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5594 - acc: 0.3600 - val_loss: 1.3911 - val_acc: 0.4000
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5595 - acc: 0.3600 - val_loss: 1.3915 - val_acc: 0.4000
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5593 - acc: 0.3600 - val_loss: 1.3918 - val_acc: 0.4000
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5593 - acc: 0.3600 - val_loss: 1.3921 - val_acc: 0.4000
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5590 - acc: 0.3600 - val_loss: 1.3923 - val_acc: 0.4000
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5594 - acc: 0.3600 - val_loss: 1.3932 - val_acc: 0.4000
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5591 - acc: 0.3600 - val_loss: 1.3935 - val_acc: 0.4000
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5590 - acc: 0.3600 - val_loss: 1.3940 - val_acc: 0.4000
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5588 - acc: 0.3600 - val_loss: 1.3941 - val_acc: 0.4000
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5589 - acc: 0.3600 - val_loss: 1.3941 - val_acc: 0.4000
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5588 - acc: 0.3600 - val_loss: 1.3943 - val_acc: 0.4000
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5587 - acc: 0.3600 - val_loss: 1.3946 - val_acc: 0.4000
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5586 - acc: 0.3600 - val_loss: 1.3947 - val_acc: 0.4000
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5586 - acc: 0.3600 - val_loss: 1.3953 - val_acc: 0.4000
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5585 - acc: 0.3600 - val_loss: 1.3954 - val_acc: 0.4000
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.5585 - acc: 0.3600 - val_loss: 1.3957 - val_acc: 0.4000
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5585 - acc: 0.3600 - val_loss: 1.3955 - val_acc: 0.4000
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5585 - acc: 0.3600 - val_loss: 1.3955 - val_acc: 0.4000
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5584 - acc: 0.3600 - val_loss: 1.3957 - val_acc: 0.4000
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5585 - acc: 0.3600 - val_loss: 1.3960 - val_acc: 0.4000
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5582 - acc: 0.3600 - val_loss: 1.3961 - val_acc: 0.4000
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5584 - acc: 0.3600 - val_loss: 1.3964 - val_acc: 0.4000
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5583 - acc: 0.3600 - val_loss: 1.3964 - val_acc: 0.4000
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5583 - acc: 0.3600 - val_loss: 1.3966 - val_acc: 0.4000
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5582 - acc: 0.3600 - val_loss: 1.3965 - val_acc: 0.4000
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5580 - acc: 0.3600 - val_loss: 1.3963 - val_acc: 0.4000
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5581 - acc: 0.3600 - val_loss: 1.3964 - val_acc: 0.4000
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5580 - acc: 0.3600 - val_loss: 1.3961 - val_acc: 0.4000
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5582 - acc: 0.3600 - val_loss: 1.3961 - val_acc: 0.4000
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5580 - acc: 0.3600 - val_loss: 1.3962 - val_acc: 0.4000
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5579 - acc: 0.3600 - val_loss: 1.3961 - val_acc: 0.4000
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5580 - acc: 0.3600 - val_loss: 1.3967 - val_acc: 0.4000
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5579 - acc: 0.3600 - val_loss: 1.3965 - val_acc: 0.4000
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5579 - acc: 0.3600 - val_loss: 1.3967 - val_acc: 0.4000
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5579 - acc: 0.3600 - val_loss: 1.3966 - val_acc: 0.4000
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5580 - acc: 0.3600 - val_loss: 1.3965 - val_acc: 0.4000
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5578 - acc: 0.3600 - val_loss: 1.3966 - val_acc: 0.4000
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5578 - acc: 0.3600 - val_loss: 1.3962 - val_acc: 0.4000
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5578 - acc: 0.3600 - val_loss: 1.3962 - val_acc: 0.4000
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3965 - val_acc: 0.4000
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5581 - acc: 0.3600 - val_loss: 1.3970 - val_acc: 0.4000
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5577 - acc: 0.3600 - val_loss: 1.3971 - val_acc: 0.4000
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3969 - val_acc: 0.4000
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5577 - acc: 0.3600 - val_loss: 1.3972 - val_acc: 0.4000
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3969 - val_acc: 0.4000
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3972 - val_acc: 0.4000
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5579 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3975 - val_acc: 0.4000
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3972 - val_acc: 0.4000
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5577 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5578 - acc: 0.3600 - val_loss: 1.3968 - val_acc: 0.4000
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3963 - val_acc: 0.4000
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3969 - val_acc: 0.4000
Epoch 75/150
450/450 [==============================] - 24s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3970 - val_acc: 0.4000
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3972 - val_acc: 0.4000
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3976 - val_acc: 0.4000
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 84/150
450/450 [==============================] - 24s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3973 - val_acc: 0.4000
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3975 - val_acc: 0.4000
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3970 - val_acc: 0.4000
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3966 - val_acc: 0.4000
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3970 - val_acc: 0.4000
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5578 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3981 - val_acc: 0.4000
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3975 - val_acc: 0.4000
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3972 - val_acc: 0.4000
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3976 - val_acc: 0.4000
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3976 - val_acc: 0.4000
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3971 - val_acc: 0.4000
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5574 - acc: 0.3600 - val_loss: 1.3969 - val_acc: 0.4000
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3974 - val_acc: 0.4000
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3980 - val_acc: 0.4000
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3980 - val_acc: 0.4000
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3983 - val_acc: 0.4000
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5570 - acc: 0.3600 - val_loss: 1.3981 - val_acc: 0.4000
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3976 - val_acc: 0.4000
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5573 - acc: 0.3600 - val_loss: 1.3976 - val_acc: 0.4000
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3975 - val_acc: 0.4000
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 120/150
450/450 [==============================] - 24s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3980 - val_acc: 0.4000
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3980 - val_acc: 0.4000
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3975 - val_acc: 0.4000
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3982 - val_acc: 0.4000
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3981 - val_acc: 0.4000
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3982 - val_acc: 0.4000
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3980 - val_acc: 0.4000
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3981 - val_acc: 0.4000
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3982 - val_acc: 0.4000
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5575 - acc: 0.3600 - val_loss: 1.3982 - val_acc: 0.4000
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5570 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3977 - val_acc: 0.4000
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3978 - val_acc: 0.4000
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5570 - acc: 0.3600 - val_loss: 1.3983 - val_acc: 0.4000
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5570 - acc: 0.3600 - val_loss: 1.3985 - val_acc: 0.4000
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3987 - val_acc: 0.4000
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3984 - val_acc: 0.4000
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.5572 - acc: 0.3600 - val_loss: 1.3985 - val_acc: 0.4000
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5570 - acc: 0.3600 - val_loss: 1.3982 - val_acc: 0.4000
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5571 - acc: 0.3600 - val_loss: 1.3979 - val_acc: 0.4000
slither_data_new-2.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.4753 - acc: 0.3556 - val_loss: 1.5309 - val_acc: 0.2200
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4724 - acc: 0.3556 - val_loss: 1.5315 - val_acc: 0.2200
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4701 - acc: 0.3556 - val_loss: 1.5290 - val_acc: 0.2200
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4684 - acc: 0.3556 - val_loss: 1.5262 - val_acc: 0.2200
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4669 - acc: 0.3556 - val_loss: 1.5266 - val_acc: 0.2200
Epoch 6/150
450/450 [==============================] - 24s - loss: 1.4657 - acc: 0.3556 - val_loss: 1.5288 - val_acc: 0.2200
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4645 - acc: 0.3556 - val_loss: 1.5303 - val_acc: 0.2200
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4637 - acc: 0.3556 - val_loss: 1.5321 - val_acc: 0.2200
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4631 - acc: 0.3556 - val_loss: 1.5349 - val_acc: 0.2200
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4624 - acc: 0.3556 - val_loss: 1.5376 - val_acc: 0.2200
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4619 - acc: 0.3556 - val_loss: 1.5376 - val_acc: 0.2200
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4614 - acc: 0.3556 - val_loss: 1.5377 - val_acc: 0.2200
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4609 - acc: 0.3556 - val_loss: 1.5375 - val_acc: 0.2200
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4608 - acc: 0.3556 - val_loss: 1.5353 - val_acc: 0.2200
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4603 - acc: 0.3556 - val_loss: 1.5355 - val_acc: 0.2200
Epoch 16/150
450/450 [==============================] - 24s - loss: 1.4601 - acc: 0.3556 - val_loss: 1.5384 - val_acc: 0.2200
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4598 - acc: 0.3556 - val_loss: 1.5397 - val_acc: 0.2200
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4595 - acc: 0.3556 - val_loss: 1.5406 - val_acc: 0.2200
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4594 - acc: 0.3556 - val_loss: 1.5410 - val_acc: 0.2200
Epoch 20/150
450/450 [==============================] - 24s - loss: 1.4592 - acc: 0.3556 - val_loss: 1.5417 - val_acc: 0.2200
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4591 - acc: 0.3556 - val_loss: 1.5413 - val_acc: 0.2200
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4589 - acc: 0.3556 - val_loss: 1.5413 - val_acc: 0.2200
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4588 - acc: 0.3556 - val_loss: 1.5443 - val_acc: 0.2200
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4590 - acc: 0.3556 - val_loss: 1.5420 - val_acc: 0.2200
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4586 - acc: 0.3556 - val_loss: 1.5420 - val_acc: 0.2200
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4587 - acc: 0.3556 - val_loss: 1.5437 - val_acc: 0.2200
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4584 - acc: 0.3556 - val_loss: 1.5439 - val_acc: 0.2200
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4584 - acc: 0.3556 - val_loss: 1.5447 - val_acc: 0.2200
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4584 - acc: 0.3556 - val_loss: 1.5451 - val_acc: 0.2200
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4582 - acc: 0.3556 - val_loss: 1.5437 - val_acc: 0.2200
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4583 - acc: 0.3556 - val_loss: 1.5452 - val_acc: 0.2200
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4585 - acc: 0.3556 - val_loss: 1.5477 - val_acc: 0.2200
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4581 - acc: 0.3556 - val_loss: 1.5452 - val_acc: 0.2200
Epoch 34/150
450/450 [==============================] - 24s - loss: 1.4581 - acc: 0.3556 - val_loss: 1.5428 - val_acc: 0.2200
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4582 - acc: 0.3556 - val_loss: 1.5411 - val_acc: 0.2200
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5436 - val_acc: 0.2200
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5471 - val_acc: 0.2200
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5469 - val_acc: 0.2200
Epoch 39/150
450/450 [==============================] - 24s - loss: 1.4583 - acc: 0.3556 - val_loss: 1.5483 - val_acc: 0.2200
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4579 - acc: 0.3556 - val_loss: 1.5471 - val_acc: 0.2200
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5470 - val_acc: 0.2200
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4579 - acc: 0.3556 - val_loss: 1.5470 - val_acc: 0.2200
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4581 - acc: 0.3556 - val_loss: 1.5429 - val_acc: 0.2200
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5470 - val_acc: 0.2200
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4579 - acc: 0.3556 - val_loss: 1.5455 - val_acc: 0.2200
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5448 - val_acc: 0.2200
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5460 - val_acc: 0.2200
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5493 - val_acc: 0.2200
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5490 - val_acc: 0.2200
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5472 - val_acc: 0.2200
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5493 - val_acc: 0.2200
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5484 - val_acc: 0.2200
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5465 - val_acc: 0.2200
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5453 - val_acc: 0.2200
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4582 - acc: 0.3556 - val_loss: 1.5502 - val_acc: 0.2200
Epoch 56/150
450/450 [==============================] - 24s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5495 - val_acc: 0.2200
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5453 - val_acc: 0.2200
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5474 - val_acc: 0.2200
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5467 - val_acc: 0.2200
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5469 - val_acc: 0.2200
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5483 - val_acc: 0.2200
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4579 - acc: 0.3556 - val_loss: 1.5485 - val_acc: 0.2200
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5475 - val_acc: 0.2200
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5494 - val_acc: 0.2200
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5459 - val_acc: 0.2200
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5460 - val_acc: 0.2200
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5461 - val_acc: 0.2200
Epoch 68/150
450/450 [==============================] - 24s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5463 - val_acc: 0.2200
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5457 - val_acc: 0.2200
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5455 - val_acc: 0.2200
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5479 - val_acc: 0.2200
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5477 - val_acc: 0.2200
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5475 - val_acc: 0.2200
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5477 - val_acc: 0.2200
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5489 - val_acc: 0.2200
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5501 - val_acc: 0.2200
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5497 - val_acc: 0.2200
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5499 - val_acc: 0.2200
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5497 - val_acc: 0.2200
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5471 - val_acc: 0.2200
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5443 - val_acc: 0.2200
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5441 - val_acc: 0.2200
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5481 - val_acc: 0.2200
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5481 - val_acc: 0.2200
Epoch 85/150
450/450 [==============================] - 24s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5502 - val_acc: 0.2200
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5478 - val_acc: 0.2200
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5493 - val_acc: 0.2200
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5496 - val_acc: 0.2200
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5510 - val_acc: 0.2200
Epoch 90/150
450/450 [==============================] - 24s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5480 - val_acc: 0.2200
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5463 - val_acc: 0.2200
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5460 - val_acc: 0.2200
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5469 - val_acc: 0.2200
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5462 - val_acc: 0.2200
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.3556 - val_loss: 1.5502 - val_acc: 0.2200
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5491 - val_acc: 0.2200
Epoch 97/150
450/450 [==============================] - 24s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5472 - val_acc: 0.2200
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5490 - val_acc: 0.2200
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5464 - val_acc: 0.2200
Epoch 100/150
450/450 [==============================] - 26s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5477 - val_acc: 0.2200
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5475 - val_acc: 0.2200
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5480 - val_acc: 0.2200
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5451 - val_acc: 0.2200
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5478 - val_acc: 0.2200
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5497 - val_acc: 0.2200
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4580 - acc: 0.3556 - val_loss: 1.5526 - val_acc: 0.2200
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5468 - val_acc: 0.2200
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5460 - val_acc: 0.2200
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5469 - val_acc: 0.2200
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5462 - val_acc: 0.2200
Epoch 111/150
450/450 [==============================] - 24s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5456 - val_acc: 0.2200
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5456 - val_acc: 0.2200
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5486 - val_acc: 0.2200
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5476 - val_acc: 0.2200
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5489 - val_acc: 0.2200
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5492 - val_acc: 0.2200
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5492 - val_acc: 0.2200
Epoch 118/150
450/450 [==============================] - 24s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5498 - val_acc: 0.2200
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5480 - val_acc: 0.2200
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5461 - val_acc: 0.2200
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5463 - val_acc: 0.2200
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5494 - val_acc: 0.2200
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5472 - val_acc: 0.2200
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5471 - val_acc: 0.2200
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5462 - val_acc: 0.2200
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5480 - val_acc: 0.2200
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5499 - val_acc: 0.2200
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5491 - val_acc: 0.2200
Epoch 129/150
450/450 [==============================] - 24s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5474 - val_acc: 0.2200
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5498 - val_acc: 0.2200
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5485 - val_acc: 0.2200
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5478 - val_acc: 0.2200
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5471 - val_acc: 0.2200
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5476 - val_acc: 0.2200
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5464 - val_acc: 0.2200
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5467 - val_acc: 0.2200
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5476 - val_acc: 0.2200
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3556 - val_loss: 1.5479 - val_acc: 0.2200
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5483 - val_acc: 0.2200
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5470 - val_acc: 0.2200
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5454 - val_acc: 0.2200
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5453 - val_acc: 0.2200
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5480 - val_acc: 0.2200
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5466 - val_acc: 0.2200
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5472 - val_acc: 0.2200
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5498 - val_acc: 0.2200
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5489 - val_acc: 0.2200
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4574 - acc: 0.3556 - val_loss: 1.5482 - val_acc: 0.2200
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4575 - acc: 0.3556 - val_loss: 1.5507 - val_acc: 0.2200
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4576 - acc: 0.3556 - val_loss: 1.5473 - val_acc: 0.2200
slither_data_new-3.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.6905 - acc: 0.3444 - val_loss: 1.4584 - val_acc: 0.3800
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.6810 - acc: 0.3444 - val_loss: 1.4567 - val_acc: 0.3800
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.6722 - acc: 0.3444 - val_loss: 1.4556 - val_acc: 0.3800
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.6641 - acc: 0.3444 - val_loss: 1.4548 - val_acc: 0.3800
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.6556 - acc: 0.3444 - val_loss: 1.4541 - val_acc: 0.3800
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.6480 - acc: 0.3444 - val_loss: 1.4540 - val_acc: 0.3800
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.6413 - acc: 0.3444 - val_loss: 1.4542 - val_acc: 0.3800
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.6342 - acc: 0.3444 - val_loss: 1.4547 - val_acc: 0.3800
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.6281 - acc: 0.3444 - val_loss: 1.4554 - val_acc: 0.3800
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.6220 - acc: 0.3444 - val_loss: 1.4563 - val_acc: 0.3800
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.6171 - acc: 0.3444 - val_loss: 1.4578 - val_acc: 0.3800
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.6120 - acc: 0.3444 - val_loss: 1.4593 - val_acc: 0.3800
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.6082 - acc: 0.3444 - val_loss: 1.4611 - val_acc: 0.3800
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.6051 - acc: 0.3444 - val_loss: 1.4632 - val_acc: 0.3800
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.6007 - acc: 0.3444 - val_loss: 1.4649 - val_acc: 0.3800
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5983 - acc: 0.3444 - val_loss: 1.4672 - val_acc: 0.3800
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5954 - acc: 0.3444 - val_loss: 1.4689 - val_acc: 0.3800
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.5940 - acc: 0.3444 - val_loss: 1.4713 - val_acc: 0.3800
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5918 - acc: 0.3444 - val_loss: 1.4729 - val_acc: 0.3800
Epoch 20/150
450/450 [==============================] - 24s - loss: 1.5905 - acc: 0.3444 - val_loss: 1.4750 - val_acc: 0.3800
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5888 - acc: 0.3444 - val_loss: 1.4768 - val_acc: 0.3800
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5884 - acc: 0.3444 - val_loss: 1.4786 - val_acc: 0.3800
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5872 - acc: 0.3444 - val_loss: 1.4805 - val_acc: 0.3800
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5867 - acc: 0.3444 - val_loss: 1.4824 - val_acc: 0.3800
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5860 - acc: 0.3444 - val_loss: 1.4839 - val_acc: 0.3800
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5858 - acc: 0.3444 - val_loss: 1.4856 - val_acc: 0.3800
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5855 - acc: 0.3444 - val_loss: 1.4865 - val_acc: 0.3800
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5854 - acc: 0.3444 - val_loss: 1.4877 - val_acc: 0.3800
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5850 - acc: 0.3444 - val_loss: 1.4885 - val_acc: 0.3800
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5851 - acc: 0.3444 - val_loss: 1.4900 - val_acc: 0.3800
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4901 - val_acc: 0.3800
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4906 - val_acc: 0.3800
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4910 - val_acc: 0.3800
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4917 - val_acc: 0.3800
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4923 - val_acc: 0.3800
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5849 - acc: 0.3444 - val_loss: 1.4930 - val_acc: 0.3800
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4934 - val_acc: 0.3800
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4935 - val_acc: 0.3800
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4933 - val_acc: 0.3800
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4933 - val_acc: 0.3800
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4936 - val_acc: 0.3800
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4933 - val_acc: 0.3800
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4955 - val_acc: 0.3800
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4956 - val_acc: 0.3800
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 79/150
450/450 [==============================] - 24s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4951 - val_acc: 0.3800
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4946 - val_acc: 0.3800
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4946 - val_acc: 0.3800
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4942 - val_acc: 0.3800
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4950 - val_acc: 0.3800
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4948 - val_acc: 0.3800
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4950 - val_acc: 0.3800
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4937 - val_acc: 0.3800
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4951 - val_acc: 0.3800
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4950 - val_acc: 0.3800
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4936 - val_acc: 0.3800
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4937 - val_acc: 0.3800
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4946 - val_acc: 0.3800
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5846 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4939 - val_acc: 0.3800
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4947 - val_acc: 0.3800
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4944 - val_acc: 0.3800
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4945 - val_acc: 0.3800
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4943 - val_acc: 0.3800
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4941 - val_acc: 0.3800
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5847 - acc: 0.3444 - val_loss: 1.4938 - val_acc: 0.3800
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4935 - val_acc: 0.3800
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.5844 - acc: 0.3444 - val_loss: 1.4940 - val_acc: 0.3800
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5845 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5843 - acc: 0.3444 - val_loss: 1.4949 - val_acc: 0.3800
slither_data_new-4.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5507 - acc: 0.2644 - val_loss: 1.5399 - val_acc: 0.2400
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5333 - acc: 0.2644 - val_loss: 1.5323 - val_acc: 0.2400
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5204 - acc: 0.2644 - val_loss: 1.5270 - val_acc: 0.2400
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5096 - acc: 0.2778 - val_loss: 1.5254 - val_acc: 0.3600
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.3067 - val_loss: 1.5265 - val_acc: 0.3600
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4965 - acc: 0.3067 - val_loss: 1.5287 - val_acc: 0.3600
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4921 - acc: 0.3067 - val_loss: 1.5319 - val_acc: 0.3600
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4886 - acc: 0.3067 - val_loss: 1.5354 - val_acc: 0.3600
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4861 - acc: 0.3067 - val_loss: 1.5386 - val_acc: 0.3600
Epoch 10/150
450/450 [==============================] - 24s - loss: 1.4841 - acc: 0.3067 - val_loss: 1.5429 - val_acc: 0.3600
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4825 - acc: 0.3067 - val_loss: 1.5465 - val_acc: 0.3600
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4811 - acc: 0.3067 - val_loss: 1.5499 - val_acc: 0.3600
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4805 - acc: 0.3067 - val_loss: 1.5535 - val_acc: 0.3600
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4796 - acc: 0.3067 - val_loss: 1.5559 - val_acc: 0.3600
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4787 - acc: 0.3067 - val_loss: 1.5575 - val_acc: 0.3600
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4783 - acc: 0.3067 - val_loss: 1.5597 - val_acc: 0.3600
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4780 - acc: 0.3067 - val_loss: 1.5608 - val_acc: 0.3600
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4774 - acc: 0.3067 - val_loss: 1.5625 - val_acc: 0.3600
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4772 - acc: 0.3067 - val_loss: 1.5640 - val_acc: 0.3600
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4770 - acc: 0.3067 - val_loss: 1.5656 - val_acc: 0.3600
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4766 - acc: 0.3067 - val_loss: 1.5669 - val_acc: 0.3600
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4763 - acc: 0.3067 - val_loss: 1.5675 - val_acc: 0.3600
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4763 - acc: 0.3067 - val_loss: 1.5688 - val_acc: 0.3600
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4762 - acc: 0.3067 - val_loss: 1.5703 - val_acc: 0.3600
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4760 - acc: 0.3067 - val_loss: 1.5712 - val_acc: 0.3600
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4760 - acc: 0.3067 - val_loss: 1.5722 - val_acc: 0.3600
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5731 - val_acc: 0.3600
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4761 - acc: 0.3067 - val_loss: 1.5731 - val_acc: 0.3600
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5740 - val_acc: 0.3600
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4761 - acc: 0.3067 - val_loss: 1.5735 - val_acc: 0.3600
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5750 - val_acc: 0.3600
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5760 - val_acc: 0.3600
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5767 - val_acc: 0.3600
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5757 - val_acc: 0.3600
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4760 - acc: 0.3067 - val_loss: 1.5774 - val_acc: 0.3600
Epoch 36/150
450/450 [==============================] - 24s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5771 - val_acc: 0.3600
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5781 - val_acc: 0.3600
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5781 - val_acc: 0.3600
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5783 - val_acc: 0.3600
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5786 - val_acc: 0.3600
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5786 - val_acc: 0.3600
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5792 - val_acc: 0.3600
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5798 - val_acc: 0.3600
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5800 - val_acc: 0.3600
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5792 - val_acc: 0.3600
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5798 - val_acc: 0.3600
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5804 - val_acc: 0.3600
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5792 - val_acc: 0.3600
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5802 - val_acc: 0.3600
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5803 - val_acc: 0.3600
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5798 - val_acc: 0.3600
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5801 - val_acc: 0.3600
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5801 - val_acc: 0.3600
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5802 - val_acc: 0.3600
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5801 - val_acc: 0.3600
Epoch 57/150
450/450 [==============================] - 24s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5816 - val_acc: 0.3600
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5810 - val_acc: 0.3600
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5799 - val_acc: 0.3600
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5794 - val_acc: 0.3600
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5798 - val_acc: 0.3600
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 74/150
450/450 [==============================] - 24s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5825 - val_acc: 0.3600
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5814 - val_acc: 0.3600
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5818 - val_acc: 0.3600
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5804 - val_acc: 0.3600
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5816 - val_acc: 0.3600
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5819 - val_acc: 0.3600
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5811 - val_acc: 0.3600
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5799 - val_acc: 0.3600
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 87/150
450/450 [==============================] - 26s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5802 - val_acc: 0.3600
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4760 - acc: 0.3067 - val_loss: 1.5813 - val_acc: 0.3600
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4761 - acc: 0.3067 - val_loss: 1.5791 - val_acc: 0.3600
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5801 - val_acc: 0.3600
Epoch 93/150
450/450 [==============================] - 24s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5804 - val_acc: 0.3600
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 96/150
450/450 [==============================] - 24s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5815 - val_acc: 0.3600
Epoch 98/150
450/450 [==============================] - 24s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5817 - val_acc: 0.3600
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 100/150
450/450 [==============================] - 24s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5804 - val_acc: 0.3600
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5800 - val_acc: 0.3600
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5811 - val_acc: 0.3600
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5810 - val_acc: 0.3600
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5815 - val_acc: 0.3600
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5814 - val_acc: 0.3600
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5810 - val_acc: 0.3600
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5801 - val_acc: 0.3600
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 117/150
450/450 [==============================] - 24s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5815 - val_acc: 0.3600
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5821 - val_acc: 0.3600
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5821 - val_acc: 0.3600
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5800 - val_acc: 0.3600
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5795 - val_acc: 0.3600
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5803 - val_acc: 0.3600
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 127/150
450/450 [==============================] - 24s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5815 - val_acc: 0.3600
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5811 - val_acc: 0.3600
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5803 - val_acc: 0.3600
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5809 - val_acc: 0.3600
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5813 - val_acc: 0.3600
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5817 - val_acc: 0.3600
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5820 - val_acc: 0.3600
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5814 - val_acc: 0.3600
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5808 - val_acc: 0.3600
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 142/150
450/450 [==============================] - 24s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5805 - val_acc: 0.3600
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4757 - acc: 0.3067 - val_loss: 1.5816 - val_acc: 0.3600
Epoch 144/150
450/450 [==============================] - 24s - loss: 1.4758 - acc: 0.3067 - val_loss: 1.5825 - val_acc: 0.3600
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5811 - val_acc: 0.3600
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4755 - acc: 0.3067 - val_loss: 1.5807 - val_acc: 0.3600
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5803 - val_acc: 0.3600
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4756 - acc: 0.3067 - val_loss: 1.5806 - val_acc: 0.3600
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4759 - acc: 0.3067 - val_loss: 1.5794 - val_acc: 0.3600
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4762 - acc: 0.3067 - val_loss: 1.5812 - val_acc: 0.3600
slither_data_new-5.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5075 - acc: 0.4489 - val_loss: 1.3526 - val_acc: 0.4600
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4898 - acc: 0.4489 - val_loss: 1.3391 - val_acc: 0.4600
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4776 - acc: 0.4489 - val_loss: 1.3283 - val_acc: 0.4600
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4670 - acc: 0.4489 - val_loss: 1.3190 - val_acc: 0.4600
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4597 - acc: 0.4489 - val_loss: 1.3107 - val_acc: 0.4600
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4541 - acc: 0.4489 - val_loss: 1.3039 - val_acc: 0.4600
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4509 - acc: 0.4489 - val_loss: 1.2986 - val_acc: 0.4600
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4485 - acc: 0.4489 - val_loss: 1.2952 - val_acc: 0.4600
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4476 - acc: 0.4489 - val_loss: 1.2915 - val_acc: 0.4600
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4468 - acc: 0.4489 - val_loss: 1.2858 - val_acc: 0.4600
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4457 - acc: 0.4489 - val_loss: 1.2856 - val_acc: 0.4600
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4449 - acc: 0.4489 - val_loss: 1.2830 - val_acc: 0.4600
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4445 - acc: 0.4489 - val_loss: 1.2833 - val_acc: 0.4600
Epoch 14/150
450/450 [==============================] - 24s - loss: 1.4439 - acc: 0.4489 - val_loss: 1.2821 - val_acc: 0.4600
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4436 - acc: 0.4489 - val_loss: 1.2818 - val_acc: 0.4600
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4434 - acc: 0.4489 - val_loss: 1.2816 - val_acc: 0.4600
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4429 - acc: 0.4489 - val_loss: 1.2816 - val_acc: 0.4600
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4426 - acc: 0.4489 - val_loss: 1.2815 - val_acc: 0.4600
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4425 - acc: 0.4489 - val_loss: 1.2825 - val_acc: 0.4600
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4425 - acc: 0.4489 - val_loss: 1.2822 - val_acc: 0.4600
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4420 - acc: 0.4489 - val_loss: 1.2834 - val_acc: 0.4600
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4418 - acc: 0.4489 - val_loss: 1.2836 - val_acc: 0.4600
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4417 - acc: 0.4489 - val_loss: 1.2849 - val_acc: 0.4600
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4416 - acc: 0.4489 - val_loss: 1.2844 - val_acc: 0.4600
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4415 - acc: 0.4489 - val_loss: 1.2841 - val_acc: 0.4600
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4416 - acc: 0.4489 - val_loss: 1.2857 - val_acc: 0.4600
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4414 - acc: 0.4489 - val_loss: 1.2846 - val_acc: 0.4600
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4413 - acc: 0.4489 - val_loss: 1.2862 - val_acc: 0.4600
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4411 - acc: 0.4489 - val_loss: 1.2853 - val_acc: 0.4600
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4411 - acc: 0.4489 - val_loss: 1.2867 - val_acc: 0.4600
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4409 - acc: 0.4489 - val_loss: 1.2873 - val_acc: 0.4600
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4410 - acc: 0.4489 - val_loss: 1.2864 - val_acc: 0.4600
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4411 - acc: 0.4489 - val_loss: 1.2856 - val_acc: 0.4600
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4407 - acc: 0.4489 - val_loss: 1.2863 - val_acc: 0.4600
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4408 - acc: 0.4489 - val_loss: 1.2877 - val_acc: 0.4600
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4409 - acc: 0.4489 - val_loss: 1.2879 - val_acc: 0.4600
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4407 - acc: 0.4489 - val_loss: 1.2874 - val_acc: 0.4600
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4406 - acc: 0.4489 - val_loss: 1.2878 - val_acc: 0.4600
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4405 - acc: 0.4489 - val_loss: 1.2874 - val_acc: 0.4600
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4408 - acc: 0.4489 - val_loss: 1.2899 - val_acc: 0.4600
Epoch 41/150
450/450 [==============================] - 24s - loss: 1.4405 - acc: 0.4489 - val_loss: 1.2886 - val_acc: 0.4600
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4405 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4405 - acc: 0.4489 - val_loss: 1.2888 - val_acc: 0.4600
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2888 - val_acc: 0.4600
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2892 - val_acc: 0.4600
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2881 - val_acc: 0.4600
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2877 - val_acc: 0.4600
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2875 - val_acc: 0.4600
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2891 - val_acc: 0.4600
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2897 - val_acc: 0.4600
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2902 - val_acc: 0.4600
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2877 - val_acc: 0.4600
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2888 - val_acc: 0.4600
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2892 - val_acc: 0.4600
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2904 - val_acc: 0.4600
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2904 - val_acc: 0.4600
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2900 - val_acc: 0.4600
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2899 - val_acc: 0.4600
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2900 - val_acc: 0.4600
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2897 - val_acc: 0.4600
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2909 - val_acc: 0.4600
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2895 - val_acc: 0.4600
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2898 - val_acc: 0.4600
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2900 - val_acc: 0.4600
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2885 - val_acc: 0.4600
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2886 - val_acc: 0.4600
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2903 - val_acc: 0.4600
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2905 - val_acc: 0.4600
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2886 - val_acc: 0.4600
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2897 - val_acc: 0.4600
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2891 - val_acc: 0.4600
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2903 - val_acc: 0.4600
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2896 - val_acc: 0.4600
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2892 - val_acc: 0.4600
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2904 - val_acc: 0.4600
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2908 - val_acc: 0.4600
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2919 - val_acc: 0.4600
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2904 - val_acc: 0.4600
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2899 - val_acc: 0.4600
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2882 - val_acc: 0.4600
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2902 - val_acc: 0.4600
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4406 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2885 - val_acc: 0.4600
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2898 - val_acc: 0.4600
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2882 - val_acc: 0.4600
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2889 - val_acc: 0.4600
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4406 - acc: 0.4489 - val_loss: 1.2902 - val_acc: 0.4600
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2898 - val_acc: 0.4600
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2902 - val_acc: 0.4600
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
Epoch 111/150
450/450 [==============================] - 24s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2885 - val_acc: 0.4600
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2897 - val_acc: 0.4600
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2896 - val_acc: 0.4600
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2897 - val_acc: 0.4600
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2908 - val_acc: 0.4600
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2910 - val_acc: 0.4600
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2900 - val_acc: 0.4600
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2896 - val_acc: 0.4600
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2893 - val_acc: 0.4600
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2898 - val_acc: 0.4600
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2891 - val_acc: 0.4600
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2898 - val_acc: 0.4600
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2896 - val_acc: 0.4600
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2873 - val_acc: 0.4600
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2881 - val_acc: 0.4600
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2885 - val_acc: 0.4600
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2894 - val_acc: 0.4600
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2890 - val_acc: 0.4600
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4400 - acc: 0.4489 - val_loss: 1.2900 - val_acc: 0.4600
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2918 - val_acc: 0.4600
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2920 - val_acc: 0.4600
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2896 - val_acc: 0.4600
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2884 - val_acc: 0.4600
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2883 - val_acc: 0.4600
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2891 - val_acc: 0.4600
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4489 - val_loss: 1.2879 - val_acc: 0.4600
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4400 - acc: 0.4489 - val_loss: 1.2887 - val_acc: 0.4600
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4402 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2905 - val_acc: 0.4600
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2913 - val_acc: 0.4600
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4406 - acc: 0.4489 - val_loss: 1.2923 - val_acc: 0.4600
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4489 - val_loss: 1.2920 - val_acc: 0.4600
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4403 - acc: 0.4489 - val_loss: 1.2901 - val_acc: 0.4600
slither_data_new-6.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5754 - acc: 0.3489 - val_loss: 1.7955 - val_acc: 0.1800
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5648 - acc: 0.3489 - val_loss: 1.7902 - val_acc: 0.1800
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5547 - acc: 0.3489 - val_loss: 1.7900 - val_acc: 0.1800
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5492 - acc: 0.3489 - val_loss: 1.7916 - val_acc: 0.1800
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5444 - acc: 0.3489 - val_loss: 1.7935 - val_acc: 0.1800
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.5423 - acc: 0.3489 - val_loss: 1.7996 - val_acc: 0.1800
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5407 - acc: 0.3489 - val_loss: 1.8053 - val_acc: 0.1800
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5398 - acc: 0.3489 - val_loss: 1.8092 - val_acc: 0.1800
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5395 - acc: 0.3489 - val_loss: 1.8127 - val_acc: 0.1800
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8160 - val_acc: 0.1800
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8192 - val_acc: 0.1800
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8216 - val_acc: 0.1800
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8233 - val_acc: 0.1800
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8241 - val_acc: 0.1800
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8274 - val_acc: 0.1800
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8268 - val_acc: 0.1800
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8285 - val_acc: 0.1800
Epoch 18/150
450/450 [==============================] - 24s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8288 - val_acc: 0.1800
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8298 - val_acc: 0.1800
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8297 - val_acc: 0.1800
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8272 - val_acc: 0.1800
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8291 - val_acc: 0.1800
Epoch 23/150
450/450 [==============================] - 24s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8307 - val_acc: 0.1800
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8306 - val_acc: 0.1800
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8309 - val_acc: 0.1800
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8332 - val_acc: 0.1800
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8293 - val_acc: 0.1800
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8272 - val_acc: 0.1800
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8295 - val_acc: 0.1800
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8307 - val_acc: 0.1800
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8303 - val_acc: 0.1800
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8318 - val_acc: 0.1800
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8327 - val_acc: 0.1800
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8323 - val_acc: 0.1800
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8323 - val_acc: 0.1800
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8330 - val_acc: 0.1800
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8304 - val_acc: 0.1800
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8290 - val_acc: 0.1800
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8319 - val_acc: 0.1800
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8326 - val_acc: 0.1800
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8311 - val_acc: 0.1800
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8321 - val_acc: 0.1800
Epoch 43/150
450/450 [==============================] - 24s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8348 - val_acc: 0.1800
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8326 - val_acc: 0.1800
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8299 - val_acc: 0.1800
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8321 - val_acc: 0.1800
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8354 - val_acc: 0.1800
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8373 - val_acc: 0.1800
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8333 - val_acc: 0.1800
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8330 - val_acc: 0.1800
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8325 - val_acc: 0.1800
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8322 - val_acc: 0.1800
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8334 - val_acc: 0.1800
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5394 - acc: 0.3489 - val_loss: 1.8304 - val_acc: 0.1800
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8291 - val_acc: 0.1800
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8315 - val_acc: 0.1800
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8303 - val_acc: 0.1800
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8306 - val_acc: 0.1800
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8317 - val_acc: 0.1800
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8336 - val_acc: 0.1800
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8335 - val_acc: 0.1800
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8328 - val_acc: 0.1800
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8326 - val_acc: 0.1800
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8318 - val_acc: 0.1800
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8318 - val_acc: 0.1800
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8308 - val_acc: 0.1800
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8320 - val_acc: 0.1800
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8351 - val_acc: 0.1800
Epoch 69/150
450/450 [==============================] - 24s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8325 - val_acc: 0.1800
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8346 - val_acc: 0.1800
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8357 - val_acc: 0.1800
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8324 - val_acc: 0.1800
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8318 - val_acc: 0.1800
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8301 - val_acc: 0.1800
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8316 - val_acc: 0.1800
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8315 - val_acc: 0.1800
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8331 - val_acc: 0.1800
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8331 - val_acc: 0.1800
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8311 - val_acc: 0.1800
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8309 - val_acc: 0.1800
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8332 - val_acc: 0.1800
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8322 - val_acc: 0.1800
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8328 - val_acc: 0.1800
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8346 - val_acc: 0.1800
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5395 - acc: 0.3489 - val_loss: 1.8375 - val_acc: 0.1800
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8320 - val_acc: 0.1800
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8309 - val_acc: 0.1800
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8285 - val_acc: 0.1800
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8321 - val_acc: 0.1800
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8315 - val_acc: 0.1800
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8305 - val_acc: 0.1800
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8305 - val_acc: 0.1800
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8316 - val_acc: 0.1800
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8322 - val_acc: 0.1800
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8340 - val_acc: 0.1800
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8330 - val_acc: 0.1800
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8327 - val_acc: 0.1800
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8321 - val_acc: 0.1800
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8350 - val_acc: 0.1800
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8334 - val_acc: 0.1800
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8325 - val_acc: 0.1800
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8320 - val_acc: 0.1800
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8313 - val_acc: 0.1800
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8336 - val_acc: 0.1800
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8321 - val_acc: 0.1800
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8338 - val_acc: 0.1800
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8320 - val_acc: 0.1800
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8319 - val_acc: 0.1800
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8298 - val_acc: 0.1800
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8305 - val_acc: 0.1800
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5394 - acc: 0.3489 - val_loss: 1.8309 - val_acc: 0.1800
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8340 - val_acc: 0.1800
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8324 - val_acc: 0.1800
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8295 - val_acc: 0.1800
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8323 - val_acc: 0.1800
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8337 - val_acc: 0.1800
Epoch 123/150
450/450 [==============================] - 24s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8356 - val_acc: 0.1800
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8341 - val_acc: 0.1800
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8352 - val_acc: 0.1800
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8358 - val_acc: 0.1800
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8323 - val_acc: 0.1800
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8331 - val_acc: 0.1800
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8322 - val_acc: 0.1800
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8329 - val_acc: 0.1800
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8322 - val_acc: 0.1800
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8288 - val_acc: 0.1800
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8303 - val_acc: 0.1800
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8305 - val_acc: 0.1800
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8302 - val_acc: 0.1800
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8312 - val_acc: 0.1800
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5392 - acc: 0.3489 - val_loss: 1.8328 - val_acc: 0.1800
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8320 - val_acc: 0.1800
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8328 - val_acc: 0.1800
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.3489 - val_loss: 1.8304 - val_acc: 0.1800
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5389 - acc: 0.3489 - val_loss: 1.8317 - val_acc: 0.1800
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8328 - val_acc: 0.1800
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8359 - val_acc: 0.1800
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8370 - val_acc: 0.1800
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8360 - val_acc: 0.1800
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8333 - val_acc: 0.1800
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8331 - val_acc: 0.1800
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.3489 - val_loss: 1.8318 - val_acc: 0.1800
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5391 - acc: 0.3489 - val_loss: 1.8288 - val_acc: 0.1800
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5397 - acc: 0.3489 - val_loss: 1.8304 - val_acc: 0.1800
slither_data_new-7.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5307 - acc: 0.3889 - val_loss: 1.4521 - val_acc: 0.2800
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5142 - acc: 0.3889 - val_loss: 1.4226 - val_acc: 0.2800
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5004 - acc: 0.3889 - val_loss: 1.3981 - val_acc: 0.2800
Epoch 4/150
450/450 [==============================] - 24s - loss: 1.4894 - acc: 0.3889 - val_loss: 1.3742 - val_acc: 0.2800
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4806 - acc: 0.3889 - val_loss: 1.3543 - val_acc: 0.2800
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4741 - acc: 0.3889 - val_loss: 1.3370 - val_acc: 0.2800
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4687 - acc: 0.3889 - val_loss: 1.3239 - val_acc: 0.2800
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4658 - acc: 0.3889 - val_loss: 1.3123 - val_acc: 0.2800
Epoch 9/150
450/450 [==============================] - 24s - loss: 1.4629 - acc: 0.3889 - val_loss: 1.3041 - val_acc: 0.2800
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4610 - acc: 0.3889 - val_loss: 1.2964 - val_acc: 0.2800
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4598 - acc: 0.3889 - val_loss: 1.2911 - val_acc: 0.2800
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4591 - acc: 0.3889 - val_loss: 1.2856 - val_acc: 0.2800
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4583 - acc: 0.3889 - val_loss: 1.2828 - val_acc: 0.2800
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4577 - acc: 0.3889 - val_loss: 1.2809 - val_acc: 0.2800
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4573 - acc: 0.3889 - val_loss: 1.2796 - val_acc: 0.2800
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4570 - acc: 0.3889 - val_loss: 1.2772 - val_acc: 0.2800
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4568 - acc: 0.3889 - val_loss: 1.2772 - val_acc: 0.2800
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4563 - acc: 0.3889 - val_loss: 1.2767 - val_acc: 0.2800
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4562 - acc: 0.3889 - val_loss: 1.2781 - val_acc: 0.2800
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4560 - acc: 0.3889 - val_loss: 1.2773 - val_acc: 0.2800
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4558 - acc: 0.3889 - val_loss: 1.2766 - val_acc: 0.2800
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4556 - acc: 0.3889 - val_loss: 1.2750 - val_acc: 0.2800
Epoch 23/150
450/450 [==============================] - 24s - loss: 1.4557 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4554 - acc: 0.3889 - val_loss: 1.2747 - val_acc: 0.2800
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4552 - acc: 0.3889 - val_loss: 1.2732 - val_acc: 0.2800
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4550 - acc: 0.3889 - val_loss: 1.2739 - val_acc: 0.2800
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4551 - acc: 0.3889 - val_loss: 1.2743 - val_acc: 0.2800
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4548 - acc: 0.3889 - val_loss: 1.2750 - val_acc: 0.2800
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4547 - acc: 0.3889 - val_loss: 1.2752 - val_acc: 0.2800
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4546 - acc: 0.3889 - val_loss: 1.2739 - val_acc: 0.2800
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4545 - acc: 0.3889 - val_loss: 1.2740 - val_acc: 0.2800
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4545 - acc: 0.3889 - val_loss: 1.2732 - val_acc: 0.2800
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4543 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4543 - acc: 0.3889 - val_loss: 1.2730 - val_acc: 0.2800
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4542 - acc: 0.3889 - val_loss: 1.2745 - val_acc: 0.2800
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4541 - acc: 0.3889 - val_loss: 1.2753 - val_acc: 0.2800
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4539 - acc: 0.3889 - val_loss: 1.2757 - val_acc: 0.2800
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4541 - acc: 0.3889 - val_loss: 1.2732 - val_acc: 0.2800
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4540 - acc: 0.3889 - val_loss: 1.2722 - val_acc: 0.2800
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4537 - acc: 0.3889 - val_loss: 1.2720 - val_acc: 0.2800
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4538 - acc: 0.3889 - val_loss: 1.2721 - val_acc: 0.2800
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4536 - acc: 0.3889 - val_loss: 1.2733 - val_acc: 0.2800
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4539 - acc: 0.3889 - val_loss: 1.2747 - val_acc: 0.2800
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4535 - acc: 0.3889 - val_loss: 1.2741 - val_acc: 0.2800
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4534 - acc: 0.3889 - val_loss: 1.2740 - val_acc: 0.2800
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4534 - acc: 0.3889 - val_loss: 1.2731 - val_acc: 0.2800
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4533 - acc: 0.3889 - val_loss: 1.2733 - val_acc: 0.2800
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4533 - acc: 0.3889 - val_loss: 1.2739 - val_acc: 0.2800
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4533 - acc: 0.3889 - val_loss: 1.2725 - val_acc: 0.2800
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4531 - acc: 0.3889 - val_loss: 1.2731 - val_acc: 0.2800
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4534 - acc: 0.3889 - val_loss: 1.2723 - val_acc: 0.2800
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4530 - acc: 0.3889 - val_loss: 1.2721 - val_acc: 0.2800
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4530 - acc: 0.3889 - val_loss: 1.2729 - val_acc: 0.2800
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4529 - acc: 0.3889 - val_loss: 1.2744 - val_acc: 0.2800
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4528 - acc: 0.3889 - val_loss: 1.2752 - val_acc: 0.2800
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4528 - acc: 0.3889 - val_loss: 1.2741 - val_acc: 0.2800
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4530 - acc: 0.3889 - val_loss: 1.2731 - val_acc: 0.2800
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4530 - acc: 0.3889 - val_loss: 1.2755 - val_acc: 0.2800
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4525 - acc: 0.3889 - val_loss: 1.2733 - val_acc: 0.2800
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4526 - acc: 0.3889 - val_loss: 1.2718 - val_acc: 0.2800
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4525 - acc: 0.3889 - val_loss: 1.2716 - val_acc: 0.2800
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4524 - acc: 0.3889 - val_loss: 1.2711 - val_acc: 0.2800
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4524 - acc: 0.3889 - val_loss: 1.2727 - val_acc: 0.2800
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4522 - acc: 0.3889 - val_loss: 1.2713 - val_acc: 0.2800
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4521 - acc: 0.3889 - val_loss: 1.2713 - val_acc: 0.2800
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4521 - acc: 0.3889 - val_loss: 1.2714 - val_acc: 0.2800
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4523 - acc: 0.3889 - val_loss: 1.2714 - val_acc: 0.2800
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4521 - acc: 0.3889 - val_loss: 1.2708 - val_acc: 0.2800
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4521 - acc: 0.3889 - val_loss: 1.2708 - val_acc: 0.2800
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4520 - acc: 0.3889 - val_loss: 1.2739 - val_acc: 0.2800
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4517 - acc: 0.3889 - val_loss: 1.2737 - val_acc: 0.2800
Epoch 72/150
450/450 [==============================] - 24s - loss: 1.4518 - acc: 0.3889 - val_loss: 1.2749 - val_acc: 0.2800
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4517 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4517 - acc: 0.3889 - val_loss: 1.2747 - val_acc: 0.2800
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4515 - acc: 0.3889 - val_loss: 1.2736 - val_acc: 0.2800
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4515 - acc: 0.3889 - val_loss: 1.2716 - val_acc: 0.2800
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4515 - acc: 0.3889 - val_loss: 1.2701 - val_acc: 0.2800
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4515 - acc: 0.3889 - val_loss: 1.2720 - val_acc: 0.2800
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4514 - acc: 0.3889 - val_loss: 1.2720 - val_acc: 0.2800
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4513 - acc: 0.3889 - val_loss: 1.2712 - val_acc: 0.2800
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4512 - acc: 0.3889 - val_loss: 1.2716 - val_acc: 0.2800
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4512 - acc: 0.3889 - val_loss: 1.2705 - val_acc: 0.2800
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4512 - acc: 0.3889 - val_loss: 1.2699 - val_acc: 0.2800
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4511 - acc: 0.3889 - val_loss: 1.2716 - val_acc: 0.2800
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4509 - acc: 0.3889 - val_loss: 1.2726 - val_acc: 0.2800
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4510 - acc: 0.3889 - val_loss: 1.2719 - val_acc: 0.2800
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4510 - acc: 0.3889 - val_loss: 1.2742 - val_acc: 0.2800
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4508 - acc: 0.3889 - val_loss: 1.2747 - val_acc: 0.2800
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4509 - acc: 0.3889 - val_loss: 1.2749 - val_acc: 0.2800
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4509 - acc: 0.3889 - val_loss: 1.2751 - val_acc: 0.2800
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4507 - acc: 0.3889 - val_loss: 1.2713 - val_acc: 0.2800
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4505 - acc: 0.3889 - val_loss: 1.2704 - val_acc: 0.2800
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4504 - acc: 0.3889 - val_loss: 1.2711 - val_acc: 0.2800
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4507 - acc: 0.3889 - val_loss: 1.2741 - val_acc: 0.2800
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4505 - acc: 0.3889 - val_loss: 1.2736 - val_acc: 0.2800
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.4503 - acc: 0.3889 - val_loss: 1.2723 - val_acc: 0.2800
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4505 - acc: 0.3889 - val_loss: 1.2694 - val_acc: 0.2800
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4502 - acc: 0.3889 - val_loss: 1.2700 - val_acc: 0.2800
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4500 - acc: 0.3889 - val_loss: 1.2709 - val_acc: 0.2800
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4501 - acc: 0.3889 - val_loss: 1.2701 - val_acc: 0.2800
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4505 - acc: 0.3889 - val_loss: 1.2683 - val_acc: 0.2800
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4499 - acc: 0.3889 - val_loss: 1.2720 - val_acc: 0.2800
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4498 - acc: 0.3889 - val_loss: 1.2733 - val_acc: 0.2800
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4497 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4498 - acc: 0.3889 - val_loss: 1.2743 - val_acc: 0.2800
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4499 - acc: 0.3889 - val_loss: 1.2754 - val_acc: 0.2800
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4497 - acc: 0.3889 - val_loss: 1.2730 - val_acc: 0.2800
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4495 - acc: 0.3889 - val_loss: 1.2725 - val_acc: 0.2800
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4495 - acc: 0.3889 - val_loss: 1.2724 - val_acc: 0.2800
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4496 - acc: 0.3889 - val_loss: 1.2743 - val_acc: 0.2800
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4496 - acc: 0.3889 - val_loss: 1.2727 - val_acc: 0.2800
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4494 - acc: 0.3889 - val_loss: 1.2706 - val_acc: 0.2800
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4493 - acc: 0.3889 - val_loss: 1.2727 - val_acc: 0.2800
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4493 - acc: 0.3889 - val_loss: 1.2710 - val_acc: 0.2800
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4493 - acc: 0.3889 - val_loss: 1.2706 - val_acc: 0.2800
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4492 - acc: 0.3889 - val_loss: 1.2707 - val_acc: 0.2800
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4491 - acc: 0.3889 - val_loss: 1.2735 - val_acc: 0.2800
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4491 - acc: 0.3889 - val_loss: 1.2743 - val_acc: 0.2800
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4489 - acc: 0.3889 - val_loss: 1.2730 - val_acc: 0.2800
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4489 - acc: 0.3889 - val_loss: 1.2726 - val_acc: 0.2800
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4489 - acc: 0.3889 - val_loss: 1.2732 - val_acc: 0.2800
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4489 - acc: 0.3889 - val_loss: 1.2707 - val_acc: 0.2800
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4487 - acc: 0.3889 - val_loss: 1.2717 - val_acc: 0.2800
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4487 - acc: 0.3889 - val_loss: 1.2723 - val_acc: 0.2800
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4487 - acc: 0.3889 - val_loss: 1.2711 - val_acc: 0.2800
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4486 - acc: 0.3889 - val_loss: 1.2717 - val_acc: 0.2800
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4485 - acc: 0.3889 - val_loss: 1.2711 - val_acc: 0.2800
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4485 - acc: 0.3889 - val_loss: 1.2714 - val_acc: 0.2800
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4484 - acc: 0.3889 - val_loss: 1.2718 - val_acc: 0.2800
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4484 - acc: 0.3889 - val_loss: 1.2719 - val_acc: 0.2800
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4482 - acc: 0.3889 - val_loss: 1.2724 - val_acc: 0.2800
Epoch 132/150
450/450 [==============================] - 24s - loss: 1.4482 - acc: 0.3889 - val_loss: 1.2719 - val_acc: 0.2800
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4481 - acc: 0.3889 - val_loss: 1.2726 - val_acc: 0.2800
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4482 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4481 - acc: 0.3889 - val_loss: 1.2762 - val_acc: 0.2800
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4479 - acc: 0.3889 - val_loss: 1.2740 - val_acc: 0.2800
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4480 - acc: 0.3889 - val_loss: 1.2748 - val_acc: 0.2800
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4478 - acc: 0.3889 - val_loss: 1.2737 - val_acc: 0.2800
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4478 - acc: 0.3889 - val_loss: 1.2706 - val_acc: 0.2800
Epoch 140/150
450/450 [==============================] - 24s - loss: 1.4479 - acc: 0.3889 - val_loss: 1.2705 - val_acc: 0.2800
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4478 - acc: 0.3889 - val_loss: 1.2699 - val_acc: 0.2800
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4477 - acc: 0.3889 - val_loss: 1.2713 - val_acc: 0.2800
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4476 - acc: 0.3889 - val_loss: 1.2732 - val_acc: 0.2800
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4475 - acc: 0.3889 - val_loss: 1.2741 - val_acc: 0.2800
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4474 - acc: 0.3889 - val_loss: 1.2722 - val_acc: 0.2800
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4477 - acc: 0.3889 - val_loss: 1.2741 - val_acc: 0.2800
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4474 - acc: 0.3889 - val_loss: 1.2746 - val_acc: 0.2800
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4474 - acc: 0.3889 - val_loss: 1.2718 - val_acc: 0.2800
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4472 - acc: 0.3889 - val_loss: 1.2713 - val_acc: 0.2800
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4475 - acc: 0.3889 - val_loss: 1.2705 - val_acc: 0.2800
slither_data_new-8.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5387 - acc: 0.3400 - val_loss: 1.2047 - val_acc: 0.6800
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5282 - acc: 0.3400 - val_loss: 1.2124 - val_acc: 0.6800
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5213 - acc: 0.3400 - val_loss: 1.2213 - val_acc: 0.6800
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5154 - acc: 0.3400 - val_loss: 1.2336 - val_acc: 0.6800
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5111 - acc: 0.3400 - val_loss: 1.2431 - val_acc: 0.6800
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.5091 - acc: 0.3400 - val_loss: 1.2518 - val_acc: 0.6800
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5076 - acc: 0.3400 - val_loss: 1.2579 - val_acc: 0.6800
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5064 - acc: 0.3400 - val_loss: 1.2610 - val_acc: 0.6800
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5058 - acc: 0.3400 - val_loss: 1.2601 - val_acc: 0.6800
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5054 - acc: 0.3400 - val_loss: 1.2619 - val_acc: 0.6800
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.5051 - acc: 0.3400 - val_loss: 1.2607 - val_acc: 0.6800
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.5050 - acc: 0.3400 - val_loss: 1.2599 - val_acc: 0.6800
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5049 - acc: 0.3400 - val_loss: 1.2604 - val_acc: 0.6800
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.5046 - acc: 0.3400 - val_loss: 1.2630 - val_acc: 0.6800
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5046 - acc: 0.3400 - val_loss: 1.2658 - val_acc: 0.6800
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5046 - acc: 0.3400 - val_loss: 1.2619 - val_acc: 0.6800
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5043 - acc: 0.3400 - val_loss: 1.2634 - val_acc: 0.6800
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.5042 - acc: 0.3400 - val_loss: 1.2606 - val_acc: 0.6800
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5039 - acc: 0.3400 - val_loss: 1.2597 - val_acc: 0.6800
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.3400 - val_loss: 1.2587 - val_acc: 0.6800
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.3400 - val_loss: 1.2617 - val_acc: 0.6800
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5038 - acc: 0.3400 - val_loss: 1.2617 - val_acc: 0.6800
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.3400 - val_loss: 1.2619 - val_acc: 0.6800
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5037 - acc: 0.3400 - val_loss: 1.2587 - val_acc: 0.6800
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5035 - acc: 0.3400 - val_loss: 1.2613 - val_acc: 0.6800
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5035 - acc: 0.3400 - val_loss: 1.2609 - val_acc: 0.6800
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5035 - acc: 0.3400 - val_loss: 1.2588 - val_acc: 0.6800
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.3400 - val_loss: 1.2607 - val_acc: 0.6800
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.3400 - val_loss: 1.2628 - val_acc: 0.6800
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.3400 - val_loss: 1.2634 - val_acc: 0.6800
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5031 - acc: 0.3400 - val_loss: 1.2626 - val_acc: 0.6800
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5031 - acc: 0.3400 - val_loss: 1.2607 - val_acc: 0.6800
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.5031 - acc: 0.3400 - val_loss: 1.2618 - val_acc: 0.6800
Epoch 35/150
450/450 [==============================] - 24s - loss: 1.5030 - acc: 0.3400 - val_loss: 1.2624 - val_acc: 0.6800
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3400 - val_loss: 1.2622 - val_acc: 0.6800
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.3400 - val_loss: 1.2621 - val_acc: 0.6800
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.3400 - val_loss: 1.2620 - val_acc: 0.6800
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3400 - val_loss: 1.2608 - val_acc: 0.6800
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3400 - val_loss: 1.2603 - val_acc: 0.6800
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3400 - val_loss: 1.2604 - val_acc: 0.6800
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3400 - val_loss: 1.2587 - val_acc: 0.6800
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3400 - val_loss: 1.2585 - val_acc: 0.6800
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3400 - val_loss: 1.2640 - val_acc: 0.6800
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3400 - val_loss: 1.2635 - val_acc: 0.6800
Epoch 46/150
450/450 [==============================] - 24s - loss: 1.5025 - acc: 0.3400 - val_loss: 1.2628 - val_acc: 0.6800
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3400 - val_loss: 1.2624 - val_acc: 0.6800
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3400 - val_loss: 1.2603 - val_acc: 0.6800
Epoch 49/150
450/450 [==============================] - 24s - loss: 1.5023 - acc: 0.3400 - val_loss: 1.2595 - val_acc: 0.6800
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3400 - val_loss: 1.2632 - val_acc: 0.6800
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5022 - acc: 0.3400 - val_loss: 1.2631 - val_acc: 0.6800
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5023 - acc: 0.3400 - val_loss: 1.2615 - val_acc: 0.6800
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5023 - acc: 0.3400 - val_loss: 1.2601 - val_acc: 0.6800
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5022 - acc: 0.3400 - val_loss: 1.2635 - val_acc: 0.6800
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5022 - acc: 0.3400 - val_loss: 1.2633 - val_acc: 0.6800
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.3400 - val_loss: 1.2633 - val_acc: 0.6800
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.3400 - val_loss: 1.2622 - val_acc: 0.6800
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.3400 - val_loss: 1.2609 - val_acc: 0.6800
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.3400 - val_loss: 1.2585 - val_acc: 0.6800
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 61/150
450/450 [==============================] - 26s - loss: 1.5021 - acc: 0.3400 - val_loss: 1.2591 - val_acc: 0.6800
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.3400 - val_loss: 1.2615 - val_acc: 0.6800
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5018 - acc: 0.3400 - val_loss: 1.2646 - val_acc: 0.6800
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.3400 - val_loss: 1.2623 - val_acc: 0.6800
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5018 - acc: 0.3400 - val_loss: 1.2636 - val_acc: 0.6800
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5022 - acc: 0.3400 - val_loss: 1.2599 - val_acc: 0.6800
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5017 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5017 - acc: 0.3400 - val_loss: 1.2637 - val_acc: 0.6800
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.3400 - val_loss: 1.2630 - val_acc: 0.6800
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.3400 - val_loss: 1.2631 - val_acc: 0.6800
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.3400 - val_loss: 1.2643 - val_acc: 0.6800
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.3400 - val_loss: 1.2628 - val_acc: 0.6800
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.3400 - val_loss: 1.2631 - val_acc: 0.6800
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.3400 - val_loss: 1.2639 - val_acc: 0.6800
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.3400 - val_loss: 1.2619 - val_acc: 0.6800
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.3400 - val_loss: 1.2586 - val_acc: 0.6800
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2590 - val_acc: 0.6800
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2625 - val_acc: 0.6800
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5012 - acc: 0.3400 - val_loss: 1.2623 - val_acc: 0.6800
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.3400 - val_loss: 1.2610 - val_acc: 0.6800
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.3400 - val_loss: 1.2627 - val_acc: 0.6800
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2635 - val_acc: 0.6800
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2608 - val_acc: 0.6800
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2606 - val_acc: 0.6800
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2640 - val_acc: 0.6800
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.3400 - val_loss: 1.2636 - val_acc: 0.6800
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.3400 - val_loss: 1.2632 - val_acc: 0.6800
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.3400 - val_loss: 1.2651 - val_acc: 0.6800
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.3400 - val_loss: 1.2684 - val_acc: 0.6800
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5012 - acc: 0.3400 - val_loss: 1.2617 - val_acc: 0.6800
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2615 - val_acc: 0.6800
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2613 - val_acc: 0.6800
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2613 - val_acc: 0.6800
Epoch 96/150
450/450 [==============================] - 24s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2605 - val_acc: 0.6800
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2614 - val_acc: 0.6800
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2625 - val_acc: 0.6800
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2629 - val_acc: 0.6800
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2645 - val_acc: 0.6800
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.3400 - val_loss: 1.2663 - val_acc: 0.6800
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.3400 - val_loss: 1.2612 - val_acc: 0.6800
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2595 - val_acc: 0.6800
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2627 - val_acc: 0.6800
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2616 - val_acc: 0.6800
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2632 - val_acc: 0.6800
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2636 - val_acc: 0.6800
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2657 - val_acc: 0.6800
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2643 - val_acc: 0.6800
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2599 - val_acc: 0.6800
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2611 - val_acc: 0.6800
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2617 - val_acc: 0.6800
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.3400 - val_loss: 1.2643 - val_acc: 0.6800
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2593 - val_acc: 0.6800
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2595 - val_acc: 0.6800
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2615 - val_acc: 0.6800
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2625 - val_acc: 0.6800
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2622 - val_acc: 0.6800
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2607 - val_acc: 0.6800
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2627 - val_acc: 0.6800
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2630 - val_acc: 0.6800
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2624 - val_acc: 0.6800
Epoch 123/150
450/450 [==============================] - 24s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2613 - val_acc: 0.6800
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2639 - val_acc: 0.6800
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2665 - val_acc: 0.6800
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2643 - val_acc: 0.6800
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2645 - val_acc: 0.6800
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2617 - val_acc: 0.6800
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2580 - val_acc: 0.6800
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.3400 - val_loss: 1.2593 - val_acc: 0.6800
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.3400 - val_loss: 1.2635 - val_acc: 0.6800
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2637 - val_acc: 0.6800
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2637 - val_acc: 0.6800
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2632 - val_acc: 0.6800
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2639 - val_acc: 0.6800
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2644 - val_acc: 0.6800
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2618 - val_acc: 0.6800
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2608 - val_acc: 0.6800
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2630 - val_acc: 0.6800
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2671 - val_acc: 0.6800
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2634 - val_acc: 0.6800
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2645 - val_acc: 0.6800
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2616 - val_acc: 0.6800
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.3400 - val_loss: 1.2645 - val_acc: 0.6800
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2628 - val_acc: 0.6800
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.3400 - val_loss: 1.2621 - val_acc: 0.6800
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5004 - acc: 0.3400 - val_loss: 1.2638 - val_acc: 0.6800
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2626 - val_acc: 0.6800
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2606 - val_acc: 0.6800
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.3400 - val_loss: 1.2626 - val_acc: 0.6800
slither_data_new-9.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5105 - acc: 0.3622 - val_loss: 1.3945 - val_acc: 0.6400
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5047 - acc: 0.3622 - val_loss: 1.3862 - val_acc: 0.6400
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5002 - acc: 0.3622 - val_loss: 1.3820 - val_acc: 0.6400
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4969 - acc: 0.3622 - val_loss: 1.3779 - val_acc: 0.6400
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4947 - acc: 0.3622 - val_loss: 1.3765 - val_acc: 0.6400
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4928 - acc: 0.3622 - val_loss: 1.3748 - val_acc: 0.6400
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4918 - acc: 0.3622 - val_loss: 1.3742 - val_acc: 0.6400
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4911 - acc: 0.3622 - val_loss: 1.3763 - val_acc: 0.6400
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4900 - acc: 0.3622 - val_loss: 1.3750 - val_acc: 0.6400
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4891 - acc: 0.3622 - val_loss: 1.3736 - val_acc: 0.6400
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4885 - acc: 0.3622 - val_loss: 1.3706 - val_acc: 0.6400
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4880 - acc: 0.3622 - val_loss: 1.3700 - val_acc: 0.6400
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4875 - acc: 0.3622 - val_loss: 1.3712 - val_acc: 0.6400
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4869 - acc: 0.3622 - val_loss: 1.3693 - val_acc: 0.6400
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4865 - acc: 0.3622 - val_loss: 1.3658 - val_acc: 0.6400
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4862 - acc: 0.3622 - val_loss: 1.3630 - val_acc: 0.6400
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4859 - acc: 0.3622 - val_loss: 1.3616 - val_acc: 0.6400
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4858 - acc: 0.3622 - val_loss: 1.3644 - val_acc: 0.6400
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4854 - acc: 0.3622 - val_loss: 1.3641 - val_acc: 0.6400
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4854 - acc: 0.3622 - val_loss: 1.3616 - val_acc: 0.6400
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4851 - acc: 0.3622 - val_loss: 1.3598 - val_acc: 0.6400
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4850 - acc: 0.3622 - val_loss: 1.3614 - val_acc: 0.6400
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4851 - acc: 0.3622 - val_loss: 1.3609 - val_acc: 0.6400
Epoch 24/150
450/450 [==============================] - 24s - loss: 1.4848 - acc: 0.3622 - val_loss: 1.3634 - val_acc: 0.6400
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4849 - acc: 0.3622 - val_loss: 1.3635 - val_acc: 0.6400
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4845 - acc: 0.3622 - val_loss: 1.3635 - val_acc: 0.6400
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4846 - acc: 0.3622 - val_loss: 1.3637 - val_acc: 0.6400
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4845 - acc: 0.3622 - val_loss: 1.3608 - val_acc: 0.6400
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4845 - acc: 0.3622 - val_loss: 1.3595 - val_acc: 0.6400
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4845 - acc: 0.3622 - val_loss: 1.3602 - val_acc: 0.6400
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3596 - val_acc: 0.6400
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3587 - val_acc: 0.6400
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3597 - val_acc: 0.6400
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4845 - acc: 0.3622 - val_loss: 1.3621 - val_acc: 0.6400
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3608 - val_acc: 0.6400
Epoch 36/150
450/450 [==============================] - 24s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3594 - val_acc: 0.6400
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3568 - val_acc: 0.6400
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3615 - val_acc: 0.6400
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3613 - val_acc: 0.6400
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3620 - val_acc: 0.6400
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3593 - val_acc: 0.6400
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3569 - val_acc: 0.6400
Epoch 43/150
450/450 [==============================] - 24s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3582 - val_acc: 0.6400
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3579 - val_acc: 0.6400
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3559 - val_acc: 0.6400
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3557 - val_acc: 0.6400
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3552 - val_acc: 0.6400
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3558 - val_acc: 0.6400
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3601 - val_acc: 0.6400
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3650 - val_acc: 0.6400
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3635 - val_acc: 0.6400
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3634 - val_acc: 0.6400
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3602 - val_acc: 0.6400
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3595 - val_acc: 0.6400
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3568 - val_acc: 0.6400
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3553 - val_acc: 0.6400
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3590 - val_acc: 0.6400
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3570 - val_acc: 0.6400
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3552 - val_acc: 0.6400
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3586 - val_acc: 0.6400
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3564 - val_acc: 0.6400
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3568 - val_acc: 0.6400
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3581 - val_acc: 0.6400
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3595 - val_acc: 0.6400
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3624 - val_acc: 0.6400
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3610 - val_acc: 0.6400
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3612 - val_acc: 0.6400
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3591 - val_acc: 0.6400
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3618 - val_acc: 0.6400
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3576 - val_acc: 0.6400
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3554 - val_acc: 0.6400
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3596 - val_acc: 0.6400
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3592 - val_acc: 0.6400
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3579 - val_acc: 0.6400
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3591 - val_acc: 0.6400
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3629 - val_acc: 0.6400
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3578 - val_acc: 0.6400
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3544 - val_acc: 0.6400
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3557 - val_acc: 0.6400
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3573 - val_acc: 0.6400
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3551 - val_acc: 0.6400
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3593 - val_acc: 0.6400
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3592 - val_acc: 0.6400
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3613 - val_acc: 0.6400
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3605 - val_acc: 0.6400
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3581 - val_acc: 0.6400
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3575 - val_acc: 0.6400
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3537 - val_acc: 0.6400
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3572 - val_acc: 0.6400
Epoch 94/150
450/450 [==============================] - 24s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3581 - val_acc: 0.6400
Epoch 95/150
450/450 [==============================] - 24s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3584 - val_acc: 0.6400
Epoch 96/150
450/450 [==============================] - 24s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3605 - val_acc: 0.6400
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3585 - val_acc: 0.6400
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3592 - val_acc: 0.6400
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3587 - val_acc: 0.6400
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3618 - val_acc: 0.6400
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3602 - val_acc: 0.6400
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3595 - val_acc: 0.6400
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3571 - val_acc: 0.6400
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3571 - val_acc: 0.6400
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3576 - val_acc: 0.6400
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3586 - val_acc: 0.6400
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3604 - val_acc: 0.6400
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3616 - val_acc: 0.6400
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3610 - val_acc: 0.6400
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3572 - val_acc: 0.6400
Epoch 112/150
450/450 [==============================] - 24s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3592 - val_acc: 0.6400
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3580 - val_acc: 0.6400
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3578 - val_acc: 0.6400
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3587 - val_acc: 0.6400
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4844 - acc: 0.3622 - val_loss: 1.3617 - val_acc: 0.6400
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3594 - val_acc: 0.6400
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3574 - val_acc: 0.6400
Epoch 119/150
450/450 [==============================] - 24s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3565 - val_acc: 0.6400
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4838 - acc: 0.3622 - val_loss: 1.3559 - val_acc: 0.6400
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3538 - val_acc: 0.6400
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3584 - val_acc: 0.6400
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3570 - val_acc: 0.6400
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3565 - val_acc: 0.6400
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3588 - val_acc: 0.6400
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3604 - val_acc: 0.6400
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3596 - val_acc: 0.6400
Epoch 128/150
450/450 [==============================] - 24s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3605 - val_acc: 0.6400
Epoch 129/150
450/450 [==============================] - 24s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3596 - val_acc: 0.6400
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3582 - val_acc: 0.6400
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3578 - val_acc: 0.6400
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3574 - val_acc: 0.6400
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3605 - val_acc: 0.6400
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3579 - val_acc: 0.6400
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3599 - val_acc: 0.6400
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3577 - val_acc: 0.6400
Epoch 137/150
450/450 [==============================] - 24s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3572 - val_acc: 0.6400
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4842 - acc: 0.3622 - val_loss: 1.3607 - val_acc: 0.6400
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3622 - val_acc: 0.6400
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3572 - val_acc: 0.6400
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4841 - acc: 0.3622 - val_loss: 1.3559 - val_acc: 0.6400
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3582 - val_acc: 0.6400
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3592 - val_acc: 0.6400
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3589 - val_acc: 0.6400
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4840 - acc: 0.3622 - val_loss: 1.3579 - val_acc: 0.6400
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3576 - val_acc: 0.6400
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4843 - acc: 0.3622 - val_loss: 1.3604 - val_acc: 0.6400
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3588 - val_acc: 0.6400
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4838 - acc: 0.3622 - val_loss: 1.3574 - val_acc: 0.6400
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4839 - acc: 0.3622 - val_loss: 1.3569 - val_acc: 0.6400
slither_data_new-10.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.4622 - acc: 0.4133 - val_loss: 1.4422 - val_acc: 0.3600
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4570 - acc: 0.4133 - val_loss: 1.4393 - val_acc: 0.3600
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4530 - acc: 0.4133 - val_loss: 1.4380 - val_acc: 0.3600
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4509 - acc: 0.4133 - val_loss: 1.4372 - val_acc: 0.3600
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4491 - acc: 0.4133 - val_loss: 1.4378 - val_acc: 0.3600
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4480 - acc: 0.4133 - val_loss: 1.4373 - val_acc: 0.3600
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4471 - acc: 0.4133 - val_loss: 1.4374 - val_acc: 0.3600
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4461 - acc: 0.4133 - val_loss: 1.4383 - val_acc: 0.3600
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4453 - acc: 0.4133 - val_loss: 1.4382 - val_acc: 0.3600
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4448 - acc: 0.4133 - val_loss: 1.4395 - val_acc: 0.3600
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4439 - acc: 0.4133 - val_loss: 1.4397 - val_acc: 0.3600
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4434 - acc: 0.4133 - val_loss: 1.4400 - val_acc: 0.3600
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4429 - acc: 0.4133 - val_loss: 1.4398 - val_acc: 0.3600
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4425 - acc: 0.4133 - val_loss: 1.4401 - val_acc: 0.3600
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4423 - acc: 0.4133 - val_loss: 1.4412 - val_acc: 0.3600
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4419 - acc: 0.4133 - val_loss: 1.4409 - val_acc: 0.3600
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4417 - acc: 0.4133 - val_loss: 1.4413 - val_acc: 0.3600
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4411 - acc: 0.4133 - val_loss: 1.4418 - val_acc: 0.3600
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4409 - acc: 0.4133 - val_loss: 1.4426 - val_acc: 0.3600
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4408 - acc: 0.4133 - val_loss: 1.4431 - val_acc: 0.3600
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4404 - acc: 0.4133 - val_loss: 1.4436 - val_acc: 0.3600
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4401 - acc: 0.4133 - val_loss: 1.4439 - val_acc: 0.3600
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4400 - acc: 0.4133 - val_loss: 1.4440 - val_acc: 0.3600
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4399 - acc: 0.4133 - val_loss: 1.4431 - val_acc: 0.3600
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4396 - acc: 0.4133 - val_loss: 1.4435 - val_acc: 0.3600
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4397 - acc: 0.4133 - val_loss: 1.4436 - val_acc: 0.3600
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4392 - acc: 0.4133 - val_loss: 1.4438 - val_acc: 0.3600
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4390 - acc: 0.4133 - val_loss: 1.4442 - val_acc: 0.3600
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4388 - acc: 0.4133 - val_loss: 1.4450 - val_acc: 0.3600
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4388 - acc: 0.4133 - val_loss: 1.4459 - val_acc: 0.3600
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4386 - acc: 0.4133 - val_loss: 1.4463 - val_acc: 0.3600
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4383 - acc: 0.4133 - val_loss: 1.4462 - val_acc: 0.3600
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4380 - acc: 0.4133 - val_loss: 1.4457 - val_acc: 0.3600
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4380 - acc: 0.4133 - val_loss: 1.4454 - val_acc: 0.3600
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4377 - acc: 0.4133 - val_loss: 1.4459 - val_acc: 0.3600
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4376 - acc: 0.4133 - val_loss: 1.4457 - val_acc: 0.3600
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4376 - acc: 0.4133 - val_loss: 1.4465 - val_acc: 0.3600
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4374 - acc: 0.4133 - val_loss: 1.4458 - val_acc: 0.3600
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4133 - val_loss: 1.4463 - val_acc: 0.3600
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4133 - val_loss: 1.4460 - val_acc: 0.3600
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4133 - val_loss: 1.4464 - val_acc: 0.3600
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4133 - val_loss: 1.4466 - val_acc: 0.3600
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4366 - acc: 0.4133 - val_loss: 1.4471 - val_acc: 0.3600
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4364 - acc: 0.4133 - val_loss: 1.4474 - val_acc: 0.3600
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4362 - acc: 0.4133 - val_loss: 1.4479 - val_acc: 0.3600
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4360 - acc: 0.4133 - val_loss: 1.4474 - val_acc: 0.3600
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4360 - acc: 0.4133 - val_loss: 1.4476 - val_acc: 0.3600
Epoch 48/150
450/450 [==============================] - 26s - loss: 1.4358 - acc: 0.4133 - val_loss: 1.4474 - val_acc: 0.3600
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4358 - acc: 0.4133 - val_loss: 1.4474 - val_acc: 0.3600
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4359 - acc: 0.4133 - val_loss: 1.4484 - val_acc: 0.3600
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4356 - acc: 0.4133 - val_loss: 1.4479 - val_acc: 0.3600
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4353 - acc: 0.4133 - val_loss: 1.4469 - val_acc: 0.3600
Epoch 53/150
450/450 [==============================] - 24s - loss: 1.4350 - acc: 0.4133 - val_loss: 1.4472 - val_acc: 0.3600
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4349 - acc: 0.4133 - val_loss: 1.4478 - val_acc: 0.3600
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4133 - val_loss: 1.4473 - val_acc: 0.3600
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4346 - acc: 0.4133 - val_loss: 1.4473 - val_acc: 0.3600
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4133 - val_loss: 1.4477 - val_acc: 0.3600
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4133 - val_loss: 1.4472 - val_acc: 0.3600
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4133 - val_loss: 1.4473 - val_acc: 0.3600
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4133 - val_loss: 1.4475 - val_acc: 0.3600
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4338 - acc: 0.4133 - val_loss: 1.4479 - val_acc: 0.3600
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4337 - acc: 0.4133 - val_loss: 1.4480 - val_acc: 0.3600
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4336 - acc: 0.4133 - val_loss: 1.4475 - val_acc: 0.3600
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4335 - acc: 0.4133 - val_loss: 1.4472 - val_acc: 0.3600
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4335 - acc: 0.4133 - val_loss: 1.4466 - val_acc: 0.3600
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4332 - acc: 0.4133 - val_loss: 1.4477 - val_acc: 0.3600
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4333 - acc: 0.4133 - val_loss: 1.4489 - val_acc: 0.3600
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4329 - acc: 0.4133 - val_loss: 1.4487 - val_acc: 0.3600
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4328 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4331 - acc: 0.4133 - val_loss: 1.4484 - val_acc: 0.3600
Epoch 71/150
450/450 [==============================] - 24s - loss: 1.4327 - acc: 0.4133 - val_loss: 1.4489 - val_acc: 0.3600
Epoch 72/150
450/450 [==============================] - 24s - loss: 1.4324 - acc: 0.4133 - val_loss: 1.4484 - val_acc: 0.3600
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4324 - acc: 0.4133 - val_loss: 1.4479 - val_acc: 0.3600
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4322 - acc: 0.4133 - val_loss: 1.4473 - val_acc: 0.3600
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4322 - acc: 0.4133 - val_loss: 1.4481 - val_acc: 0.3600
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4320 - acc: 0.4133 - val_loss: 1.4485 - val_acc: 0.3600
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4319 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4317 - acc: 0.4133 - val_loss: 1.4484 - val_acc: 0.3600
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4317 - acc: 0.4133 - val_loss: 1.4494 - val_acc: 0.3600
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4315 - acc: 0.4133 - val_loss: 1.4491 - val_acc: 0.3600
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4313 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4315 - acc: 0.4133 - val_loss: 1.4487 - val_acc: 0.3600
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4312 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4314 - acc: 0.4133 - val_loss: 1.4480 - val_acc: 0.3600
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4315 - acc: 0.4133 - val_loss: 1.4484 - val_acc: 0.3600
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4310 - acc: 0.4133 - val_loss: 1.4489 - val_acc: 0.3600
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4309 - acc: 0.4133 - val_loss: 1.4494 - val_acc: 0.3600
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4307 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4306 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4305 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4133 - val_loss: 1.4491 - val_acc: 0.3600
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4133 - val_loss: 1.4493 - val_acc: 0.3600
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4133 - val_loss: 1.4489 - val_acc: 0.3600
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4133 - val_loss: 1.4485 - val_acc: 0.3600
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.4299 - acc: 0.4133 - val_loss: 1.4486 - val_acc: 0.3600
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4298 - acc: 0.4133 - val_loss: 1.4491 - val_acc: 0.3600
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4133 - val_loss: 1.4490 - val_acc: 0.3600
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4296 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4297 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4296 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4295 - acc: 0.4133 - val_loss: 1.4492 - val_acc: 0.3600
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4294 - acc: 0.4133 - val_loss: 1.4493 - val_acc: 0.3600
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4294 - acc: 0.4133 - val_loss: 1.4498 - val_acc: 0.3600
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4294 - acc: 0.4133 - val_loss: 1.4501 - val_acc: 0.3600
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4294 - acc: 0.4133 - val_loss: 1.4499 - val_acc: 0.3600
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4291 - acc: 0.4133 - val_loss: 1.4495 - val_acc: 0.3600
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4291 - acc: 0.4133 - val_loss: 1.4495 - val_acc: 0.3600
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4291 - acc: 0.4133 - val_loss: 1.4499 - val_acc: 0.3600
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4289 - acc: 0.4133 - val_loss: 1.4499 - val_acc: 0.3600
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4292 - acc: 0.4133 - val_loss: 1.4503 - val_acc: 0.3600
Epoch 112/150
450/450 [==============================] - 24s - loss: 1.4289 - acc: 0.4133 - val_loss: 1.4503 - val_acc: 0.3600
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4289 - acc: 0.4133 - val_loss: 1.4490 - val_acc: 0.3600
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4290 - acc: 0.4133 - val_loss: 1.4488 - val_acc: 0.3600
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4289 - acc: 0.4133 - val_loss: 1.4482 - val_acc: 0.3600
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4287 - acc: 0.4133 - val_loss: 1.4493 - val_acc: 0.3600
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4287 - acc: 0.4133 - val_loss: 1.4493 - val_acc: 0.3600
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4287 - acc: 0.4133 - val_loss: 1.4503 - val_acc: 0.3600
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4286 - acc: 0.4133 - val_loss: 1.4506 - val_acc: 0.3600
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4286 - acc: 0.4133 - val_loss: 1.4513 - val_acc: 0.3600
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4286 - acc: 0.4133 - val_loss: 1.4509 - val_acc: 0.3600
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4286 - acc: 0.4133 - val_loss: 1.4517 - val_acc: 0.3600
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4285 - acc: 0.4133 - val_loss: 1.4506 - val_acc: 0.3600
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4284 - acc: 0.4133 - val_loss: 1.4503 - val_acc: 0.3600
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4286 - acc: 0.4133 - val_loss: 1.4506 - val_acc: 0.3600
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4285 - acc: 0.4133 - val_loss: 1.4500 - val_acc: 0.3600
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4283 - acc: 0.4133 - val_loss: 1.4499 - val_acc: 0.3600
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4283 - acc: 0.4133 - val_loss: 1.4505 - val_acc: 0.3600
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4284 - acc: 0.4133 - val_loss: 1.4508 - val_acc: 0.3600
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4284 - acc: 0.4133 - val_loss: 1.4499 - val_acc: 0.3600
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4282 - acc: 0.4133 - val_loss: 1.4500 - val_acc: 0.3600
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4283 - acc: 0.4133 - val_loss: 1.4511 - val_acc: 0.3600
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4508 - val_acc: 0.3600
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4282 - acc: 0.4133 - val_loss: 1.4500 - val_acc: 0.3600
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4282 - acc: 0.4133 - val_loss: 1.4501 - val_acc: 0.3600
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4513 - val_acc: 0.3600
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4513 - val_acc: 0.3600
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4511 - val_acc: 0.3600
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4512 - val_acc: 0.3600
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4513 - val_acc: 0.3600
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4512 - val_acc: 0.3600
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4516 - val_acc: 0.3600
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4522 - val_acc: 0.3600
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4509 - val_acc: 0.3600
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4512 - val_acc: 0.3600
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4502 - val_acc: 0.3600
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4133 - val_loss: 1.4511 - val_acc: 0.3600
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4279 - acc: 0.4133 - val_loss: 1.4513 - val_acc: 0.3600
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4508 - val_acc: 0.3600
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4280 - acc: 0.4133 - val_loss: 1.4511 - val_acc: 0.3600
slither_data_new-11.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5771 - acc: 0.4244 - val_loss: 1.3193 - val_acc: 0.4600
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5692 - acc: 0.4244 - val_loss: 1.3235 - val_acc: 0.4600
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5633 - acc: 0.4244 - val_loss: 1.3285 - val_acc: 0.4600
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5581 - acc: 0.4244 - val_loss: 1.3342 - val_acc: 0.4600
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5546 - acc: 0.4244 - val_loss: 1.3395 - val_acc: 0.4600
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.5515 - acc: 0.4244 - val_loss: 1.3447 - val_acc: 0.4600
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5492 - acc: 0.4244 - val_loss: 1.3491 - val_acc: 0.4600
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5472 - acc: 0.4244 - val_loss: 1.3535 - val_acc: 0.4600
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5453 - acc: 0.4244 - val_loss: 1.3566 - val_acc: 0.4600
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5440 - acc: 0.4244 - val_loss: 1.3599 - val_acc: 0.4600
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.5427 - acc: 0.4244 - val_loss: 1.3626 - val_acc: 0.4600
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.5422 - acc: 0.4244 - val_loss: 1.3655 - val_acc: 0.4600
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5408 - acc: 0.4244 - val_loss: 1.3671 - val_acc: 0.4600
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.5401 - acc: 0.4244 - val_loss: 1.3684 - val_acc: 0.4600
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5396 - acc: 0.4244 - val_loss: 1.3700 - val_acc: 0.4600
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5393 - acc: 0.4244 - val_loss: 1.3701 - val_acc: 0.4600
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5390 - acc: 0.4244 - val_loss: 1.3721 - val_acc: 0.4600
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.5383 - acc: 0.4244 - val_loss: 1.3738 - val_acc: 0.4600
Epoch 19/150
450/450 [==============================] - 24s - loss: 1.5379 - acc: 0.4244 - val_loss: 1.3753 - val_acc: 0.4600
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5377 - acc: 0.4244 - val_loss: 1.3762 - val_acc: 0.4600
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5375 - acc: 0.4244 - val_loss: 1.3760 - val_acc: 0.4600
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5374 - acc: 0.4244 - val_loss: 1.3765 - val_acc: 0.4600
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5372 - acc: 0.4244 - val_loss: 1.3768 - val_acc: 0.4600
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5369 - acc: 0.4244 - val_loss: 1.3781 - val_acc: 0.4600
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5369 - acc: 0.4244 - val_loss: 1.3788 - val_acc: 0.4600
Epoch 26/150
450/450 [==============================] - 24s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3797 - val_acc: 0.4600
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3797 - val_acc: 0.4600
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3799 - val_acc: 0.4600
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3811 - val_acc: 0.4600
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3810 - val_acc: 0.4600
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3819 - val_acc: 0.4600
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3808 - val_acc: 0.4600
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3811 - val_acc: 0.4600
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3811 - val_acc: 0.4600
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3816 - val_acc: 0.4600
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3813 - val_acc: 0.4600
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3818 - val_acc: 0.4600
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3829 - val_acc: 0.4600
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5369 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3838 - val_acc: 0.4600
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 42/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 44/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3839 - val_acc: 0.4600
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3820 - val_acc: 0.4600
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3828 - val_acc: 0.4600
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3818 - val_acc: 0.4600
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3819 - val_acc: 0.4600
Epoch 52/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3832 - val_acc: 0.4600
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3842 - val_acc: 0.4600
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3850 - val_acc: 0.4600
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3848 - val_acc: 0.4600
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3852 - val_acc: 0.4600
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3839 - val_acc: 0.4600
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3842 - val_acc: 0.4600
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3844 - val_acc: 0.4600
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3832 - val_acc: 0.4600
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5369 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3821 - val_acc: 0.4600
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3838 - val_acc: 0.4600
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5369 - acc: 0.4244 - val_loss: 1.3859 - val_acc: 0.4600
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3838 - val_acc: 0.4600
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 81/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3839 - val_acc: 0.4600
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3827 - val_acc: 0.4600
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3844 - val_acc: 0.4600
Epoch 90/150
450/450 [==============================] - 31s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 91/150
450/450 [==============================] - 35s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 92/150
450/450 [==============================] - 28s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 93/150
450/450 [==============================] - 36s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 94/150
450/450 [==============================] - 33s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3829 - val_acc: 0.4600
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3832 - val_acc: 0.4600
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3829 - val_acc: 0.4600
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3822 - val_acc: 0.4600
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3841 - val_acc: 0.4600
Epoch 106/150
450/450 [==============================] - 24s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3839 - val_acc: 0.4600
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3830 - val_acc: 0.4600
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3835 - val_acc: 0.4600
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3844 - val_acc: 0.4600
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3846 - val_acc: 0.4600
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3834 - val_acc: 0.4600
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3849 - val_acc: 0.4600
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3845 - val_acc: 0.4600
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3829 - val_acc: 0.4600
Epoch 122/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3830 - val_acc: 0.4600
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3839 - val_acc: 0.4600
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3838 - val_acc: 0.4600
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3829 - val_acc: 0.4600
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3824 - val_acc: 0.4600
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3826 - val_acc: 0.4600
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5368 - acc: 0.4244 - val_loss: 1.3845 - val_acc: 0.4600
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3856 - val_acc: 0.4600
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3844 - val_acc: 0.4600
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 135/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3843 - val_acc: 0.4600
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3842 - val_acc: 0.4600
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3840 - val_acc: 0.4600
Epoch 139/150
450/450 [==============================] - 24s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3837 - val_acc: 0.4600
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3831 - val_acc: 0.4600
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5370 - acc: 0.4244 - val_loss: 1.3844 - val_acc: 0.4600
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3849 - val_acc: 0.4600
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3846 - val_acc: 0.4600
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5366 - acc: 0.4244 - val_loss: 1.3836 - val_acc: 0.4600
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3833 - val_acc: 0.4600
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5364 - acc: 0.4244 - val_loss: 1.3838 - val_acc: 0.4600
Epoch 148/150
450/450 [==============================] - 24s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3817 - val_acc: 0.4600
Epoch 149/150
450/450 [==============================] - 24s - loss: 1.5367 - acc: 0.4244 - val_loss: 1.3821 - val_acc: 0.4600
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5365 - acc: 0.4244 - val_loss: 1.3828 - val_acc: 0.4600
slither_data_new-12.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5776 - acc: 0.3022 - val_loss: 1.7109 - val_acc: 0.0200
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5576 - acc: 0.3022 - val_loss: 1.6606 - val_acc: 0.0200
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5431 - acc: 0.3022 - val_loss: 1.6139 - val_acc: 0.0200
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5314 - acc: 0.3022 - val_loss: 1.5742 - val_acc: 0.0200
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5229 - acc: 0.3022 - val_loss: 1.5409 - val_acc: 0.0200
Epoch 6/150
450/450 [==============================] - 24s - loss: 1.5160 - acc: 0.3022 - val_loss: 1.5142 - val_acc: 0.0200
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5115 - acc: 0.3022 - val_loss: 1.4925 - val_acc: 0.0200
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5086 - acc: 0.3022 - val_loss: 1.4751 - val_acc: 0.0200
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5065 - acc: 0.3022 - val_loss: 1.4626 - val_acc: 0.0200
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5057 - acc: 0.3022 - val_loss: 1.4548 - val_acc: 0.0200
Epoch 11/150
450/450 [==============================] - 24s - loss: 1.5038 - acc: 0.3022 - val_loss: 1.4501 - val_acc: 0.0200
Epoch 12/150
450/450 [==============================] - 24s - loss: 1.5043 - acc: 0.2556 - val_loss: 1.4417 - val_acc: 0.4800
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5034 - acc: 0.3089 - val_loss: 1.4393 - val_acc: 0.4800
Epoch 14/150
450/450 [==============================] - 24s - loss: 1.5031 - acc: 0.3089 - val_loss: 1.4390 - val_acc: 0.4800
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.3089 - val_loss: 1.4368 - val_acc: 0.4800
Epoch 16/150
450/450 [==============================] - 24s - loss: 1.5030 - acc: 0.3089 - val_loss: 1.4372 - val_acc: 0.4800
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 18/150
450/450 [==============================] - 24s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4390 - val_acc: 0.4800
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4365 - val_acc: 0.4800
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 21/150
450/450 [==============================] - 24s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4377 - val_acc: 0.4800
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4371 - val_acc: 0.4800
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4369 - val_acc: 0.4800
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4368 - val_acc: 0.4800
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4373 - val_acc: 0.4800
Epoch 27/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4361 - val_acc: 0.4800
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4340 - val_acc: 0.4800
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4338 - val_acc: 0.4800
Epoch 30/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 31/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4374 - val_acc: 0.4800
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 34/150
450/450 [==============================] - 26s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4361 - val_acc: 0.4800
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4341 - val_acc: 0.4800
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4353 - val_acc: 0.4800
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4349 - val_acc: 0.4800
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4358 - val_acc: 0.4800
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4320 - val_acc: 0.4800
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4375 - val_acc: 0.4800
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4395 - val_acc: 0.4800
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4400 - val_acc: 0.4800
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4382 - val_acc: 0.4800
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4371 - val_acc: 0.4800
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4352 - val_acc: 0.4800
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4336 - val_acc: 0.4800
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4362 - val_acc: 0.4800
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4357 - val_acc: 0.4800
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4342 - val_acc: 0.4800
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4341 - val_acc: 0.4800
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4344 - val_acc: 0.4800
Epoch 56/150
450/450 [==============================] - 24s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4356 - val_acc: 0.4800
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4351 - val_acc: 0.4800
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4332 - val_acc: 0.4800
Epoch 59/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4328 - val_acc: 0.4800
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4353 - val_acc: 0.4800
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4367 - val_acc: 0.4800
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4378 - val_acc: 0.4800
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4346 - val_acc: 0.4800
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4378 - val_acc: 0.4800
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4351 - val_acc: 0.4800
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4350 - val_acc: 0.4800
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4382 - val_acc: 0.4800
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4347 - val_acc: 0.4800
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4329 - val_acc: 0.4800
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4336 - val_acc: 0.4800
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4338 - val_acc: 0.4800
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4352 - val_acc: 0.4800
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4375 - val_acc: 0.4800
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4365 - val_acc: 0.4800
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4378 - val_acc: 0.4800
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4357 - val_acc: 0.4800
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4358 - val_acc: 0.4800
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4330 - val_acc: 0.4800
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4329 - val_acc: 0.4800
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4354 - val_acc: 0.4800
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4350 - val_acc: 0.4800
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4342 - val_acc: 0.4800
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4361 - val_acc: 0.4800
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4362 - val_acc: 0.4800
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4358 - val_acc: 0.4800
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4351 - val_acc: 0.4800
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4367 - val_acc: 0.4800
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4352 - val_acc: 0.4800
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4373 - val_acc: 0.4800
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4368 - val_acc: 0.4800
Epoch 98/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 99/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4331 - val_acc: 0.4800
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4344 - val_acc: 0.4800
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4336 - val_acc: 0.4800
Epoch 102/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4346 - val_acc: 0.4800
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4365 - val_acc: 0.4800
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4362 - val_acc: 0.4800
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4347 - val_acc: 0.4800
Epoch 107/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4345 - val_acc: 0.4800
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4340 - val_acc: 0.4800
Epoch 109/150
450/450 [==============================] - 24s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4386 - val_acc: 0.4800
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4371 - val_acc: 0.4800
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4376 - val_acc: 0.4800
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4322 - val_acc: 0.4800
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4333 - val_acc: 0.4800
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4356 - val_acc: 0.4800
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4361 - val_acc: 0.4800
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4334 - val_acc: 0.4800
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4348 - val_acc: 0.4800
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4338 - val_acc: 0.4800
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4364 - val_acc: 0.4800
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4394 - val_acc: 0.4800
Epoch 123/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4378 - val_acc: 0.4800
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4357 - val_acc: 0.4800
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4353 - val_acc: 0.4800
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4378 - val_acc: 0.4800
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4331 - val_acc: 0.4800
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4346 - val_acc: 0.4800
Epoch 129/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4368 - val_acc: 0.4800
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4366 - val_acc: 0.4800
Epoch 131/150
450/450 [==============================] - 24s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4375 - val_acc: 0.4800
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5029 - acc: 0.3089 - val_loss: 1.4379 - val_acc: 0.4800
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4327 - val_acc: 0.4800
Epoch 134/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4295 - val_acc: 0.4800
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.3089 - val_loss: 1.4339 - val_acc: 0.4800
Epoch 136/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4363 - val_acc: 0.4800
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4347 - val_acc: 0.4800
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4348 - val_acc: 0.4800
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4373 - val_acc: 0.4800
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4369 - val_acc: 0.4800
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4382 - val_acc: 0.4800
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4350 - val_acc: 0.4800
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4359 - val_acc: 0.4800
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4360 - val_acc: 0.4800
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4336 - val_acc: 0.4800
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.3089 - val_loss: 1.4334 - val_acc: 0.4800
Epoch 148/150
450/450 [==============================] - 24s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4361 - val_acc: 0.4800
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.3089 - val_loss: 1.4368 - val_acc: 0.4800
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.3089 - val_loss: 1.4351 - val_acc: 0.4800
slither_data_new-13.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.4967 - acc: 0.3689 - val_loss: 1.5106 - val_acc: 0.2000
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4810 - acc: 0.4178 - val_loss: 1.5280 - val_acc: 0.2000
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4686 - acc: 0.4178 - val_loss: 1.5470 - val_acc: 0.2000
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4578 - acc: 0.4178 - val_loss: 1.5662 - val_acc: 0.2000
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4508 - acc: 0.4178 - val_loss: 1.5847 - val_acc: 0.2000
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4455 - acc: 0.4178 - val_loss: 1.6017 - val_acc: 0.2000
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4418 - acc: 0.4178 - val_loss: 1.6171 - val_acc: 0.2000
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4393 - acc: 0.4178 - val_loss: 1.6299 - val_acc: 0.2000
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4377 - acc: 0.4178 - val_loss: 1.6403 - val_acc: 0.2000
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4178 - val_loss: 1.6509 - val_acc: 0.2000
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4364 - acc: 0.4178 - val_loss: 1.6593 - val_acc: 0.2000
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4360 - acc: 0.4178 - val_loss: 1.6647 - val_acc: 0.2000
Epoch 13/150
450/450 [==============================] - 24s - loss: 1.4355 - acc: 0.4178 - val_loss: 1.6678 - val_acc: 0.2000
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4353 - acc: 0.4178 - val_loss: 1.6707 - val_acc: 0.2000
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4352 - acc: 0.4178 - val_loss: 1.6723 - val_acc: 0.2000
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4351 - acc: 0.4178 - val_loss: 1.6738 - val_acc: 0.2000
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4350 - acc: 0.4178 - val_loss: 1.6743 - val_acc: 0.2000
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4350 - acc: 0.4178 - val_loss: 1.6764 - val_acc: 0.2000
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4348 - acc: 0.4178 - val_loss: 1.6763 - val_acc: 0.2000
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4351 - acc: 0.4178 - val_loss: 1.6755 - val_acc: 0.2000
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4349 - acc: 0.4178 - val_loss: 1.6756 - val_acc: 0.2000
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4178 - val_loss: 1.6779 - val_acc: 0.2000
Epoch 23/150
450/450 [==============================] - 24s - loss: 1.4347 - acc: 0.4178 - val_loss: 1.6774 - val_acc: 0.2000
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4178 - val_loss: 1.6762 - val_acc: 0.2000
Epoch 25/150
450/450 [==============================] - 24s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6782 - val_acc: 0.2000
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4178 - val_loss: 1.6766 - val_acc: 0.2000
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6775 - val_acc: 0.2000
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6801 - val_acc: 0.2000
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4178 - val_loss: 1.6818 - val_acc: 0.2000
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6825 - val_acc: 0.2000
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6798 - val_acc: 0.2000
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 33/150
450/450 [==============================] - 24s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6799 - val_acc: 0.2000
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6792 - val_acc: 0.2000
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6801 - val_acc: 0.2000
Epoch 36/150
450/450 [==============================] - 26s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6814 - val_acc: 0.2000
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6818 - val_acc: 0.2000
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6809 - val_acc: 0.2000
Epoch 39/150
450/450 [==============================] - 24s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6783 - val_acc: 0.2000
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6799 - val_acc: 0.2000
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6803 - val_acc: 0.2000
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6795 - val_acc: 0.2000
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6784 - val_acc: 0.2000
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6788 - val_acc: 0.2000
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6794 - val_acc: 0.2000
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6784 - val_acc: 0.2000
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6795 - val_acc: 0.2000
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6781 - val_acc: 0.2000
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6793 - val_acc: 0.2000
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6793 - val_acc: 0.2000
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6809 - val_acc: 0.2000
Epoch 52/150
450/450 [==============================] - 24s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6820 - val_acc: 0.2000
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4345 - acc: 0.4178 - val_loss: 1.6807 - val_acc: 0.2000
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6815 - val_acc: 0.2000
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6831 - val_acc: 0.2000
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6811 - val_acc: 0.2000
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6817 - val_acc: 0.2000
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6796 - val_acc: 0.2000
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6823 - val_acc: 0.2000
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6851 - val_acc: 0.2000
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6820 - val_acc: 0.2000
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6796 - val_acc: 0.2000
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6809 - val_acc: 0.2000
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6810 - val_acc: 0.2000
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6818 - val_acc: 0.2000
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6813 - val_acc: 0.2000
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6799 - val_acc: 0.2000
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6792 - val_acc: 0.2000
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6819 - val_acc: 0.2000
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6809 - val_acc: 0.2000
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6788 - val_acc: 0.2000
Epoch 75/150
450/450 [==============================] - 24s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6795 - val_acc: 0.2000
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6807 - val_acc: 0.2000
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6812 - val_acc: 0.2000
Epoch 78/150
450/450 [==============================] - 24s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6792 - val_acc: 0.2000
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 81/150
450/450 [==============================] - 24s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6793 - val_acc: 0.2000
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6797 - val_acc: 0.2000
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6818 - val_acc: 0.2000
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6819 - val_acc: 0.2000
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6841 - val_acc: 0.2000
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6836 - val_acc: 0.2000
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6827 - val_acc: 0.2000
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6797 - val_acc: 0.2000
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6797 - val_acc: 0.2000
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6824 - val_acc: 0.2000
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6805 - val_acc: 0.2000
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6771 - val_acc: 0.2000
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6824 - val_acc: 0.2000
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6814 - val_acc: 0.2000
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6799 - val_acc: 0.2000
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6829 - val_acc: 0.2000
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4344 - acc: 0.4178 - val_loss: 1.6837 - val_acc: 0.2000
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6845 - val_acc: 0.2000
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6814 - val_acc: 0.2000
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6781 - val_acc: 0.2000
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6778 - val_acc: 0.2000
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4178 - val_loss: 1.6762 - val_acc: 0.2000
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6783 - val_acc: 0.2000
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6785 - val_acc: 0.2000
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6814 - val_acc: 0.2000
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6820 - val_acc: 0.2000
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6826 - val_acc: 0.2000
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6816 - val_acc: 0.2000
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6826 - val_acc: 0.2000
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6826 - val_acc: 0.2000
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6811 - val_acc: 0.2000
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6820 - val_acc: 0.2000
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6819 - val_acc: 0.2000
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6813 - val_acc: 0.2000
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6788 - val_acc: 0.2000
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6810 - val_acc: 0.2000
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6785 - val_acc: 0.2000
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6805 - val_acc: 0.2000
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6816 - val_acc: 0.2000
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6822 - val_acc: 0.2000
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6835 - val_acc: 0.2000
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6811 - val_acc: 0.2000
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6793 - val_acc: 0.2000
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6800 - val_acc: 0.2000
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6781 - val_acc: 0.2000
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6788 - val_acc: 0.2000
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6785 - val_acc: 0.2000
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6793 - val_acc: 0.2000
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6802 - val_acc: 0.2000
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6828 - val_acc: 0.2000
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4178 - val_loss: 1.6815 - val_acc: 0.2000
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6827 - val_acc: 0.2000
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6838 - val_acc: 0.2000
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6831 - val_acc: 0.2000
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6828 - val_acc: 0.2000
Epoch 140/150
450/450 [==============================] - 24s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6808 - val_acc: 0.2000
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6804 - val_acc: 0.2000
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6796 - val_acc: 0.2000
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6775 - val_acc: 0.2000
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6785 - val_acc: 0.2000
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6810 - val_acc: 0.2000
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6815 - val_acc: 0.2000
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4178 - val_loss: 1.6805 - val_acc: 0.2000
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4178 - val_loss: 1.6796 - val_acc: 0.2000
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4339 - acc: 0.4178 - val_loss: 1.6788 - val_acc: 0.2000
slither_data_new-14.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.5001 - acc: 0.4222 - val_loss: 1.8427 - val_acc: 0.2000
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4851 - acc: 0.4222 - val_loss: 1.8412 - val_acc: 0.2000
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4729 - acc: 0.4222 - val_loss: 1.8458 - val_acc: 0.2000
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4639 - acc: 0.4222 - val_loss: 1.8472 - val_acc: 0.2000
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4548 - acc: 0.4222 - val_loss: 1.8505 - val_acc: 0.2000
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4491 - acc: 0.4222 - val_loss: 1.8532 - val_acc: 0.2000
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4444 - acc: 0.4222 - val_loss: 1.8580 - val_acc: 0.2000
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4418 - acc: 0.4222 - val_loss: 1.8613 - val_acc: 0.2000
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4397 - acc: 0.4222 - val_loss: 1.8642 - val_acc: 0.2000
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4376 - acc: 0.4222 - val_loss: 1.8677 - val_acc: 0.2000
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4366 - acc: 0.4222 - val_loss: 1.8708 - val_acc: 0.2000
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4362 - acc: 0.4222 - val_loss: 1.8723 - val_acc: 0.2000
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4358 - acc: 0.4222 - val_loss: 1.8762 - val_acc: 0.2000
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4354 - acc: 0.4222 - val_loss: 1.8784 - val_acc: 0.2000
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4351 - acc: 0.4222 - val_loss: 1.8803 - val_acc: 0.2000
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4351 - acc: 0.4222 - val_loss: 1.8796 - val_acc: 0.2000
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.4349 - acc: 0.4222 - val_loss: 1.8802 - val_acc: 0.2000
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4348 - acc: 0.4222 - val_loss: 1.8814 - val_acc: 0.2000
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4347 - acc: 0.4222 - val_loss: 1.8817 - val_acc: 0.2000
Epoch 20/150
450/450 [==============================] - 26s - loss: 1.4346 - acc: 0.4222 - val_loss: 1.8811 - val_acc: 0.2000
Epoch 21/150
450/450 [==============================] - 26s - loss: 1.4346 - acc: 0.4222 - val_loss: 1.8787 - val_acc: 0.2000
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4345 - acc: 0.4222 - val_loss: 1.8779 - val_acc: 0.2000
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4222 - val_loss: 1.8789 - val_acc: 0.2000
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4343 - acc: 0.4222 - val_loss: 1.8777 - val_acc: 0.2000
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4346 - acc: 0.4222 - val_loss: 1.8767 - val_acc: 0.2000
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4222 - val_loss: 1.8771 - val_acc: 0.2000
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4342 - acc: 0.4222 - val_loss: 1.8780 - val_acc: 0.2000
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4340 - acc: 0.4222 - val_loss: 1.8769 - val_acc: 0.2000
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4222 - val_loss: 1.8801 - val_acc: 0.2000
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.4341 - acc: 0.4222 - val_loss: 1.8765 - val_acc: 0.2000
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4338 - acc: 0.4222 - val_loss: 1.8748 - val_acc: 0.2000
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.4338 - acc: 0.4222 - val_loss: 1.8760 - val_acc: 0.2000
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4338 - acc: 0.4222 - val_loss: 1.8772 - val_acc: 0.2000
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4338 - acc: 0.4222 - val_loss: 1.8736 - val_acc: 0.2000
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4336 - acc: 0.4222 - val_loss: 1.8744 - val_acc: 0.2000
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4335 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4335 - acc: 0.4222 - val_loss: 1.8748 - val_acc: 0.2000
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4335 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4334 - acc: 0.4222 - val_loss: 1.8741 - val_acc: 0.2000
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4334 - acc: 0.4222 - val_loss: 1.8742 - val_acc: 0.2000
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4333 - acc: 0.4222 - val_loss: 1.8740 - val_acc: 0.2000
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4332 - acc: 0.4222 - val_loss: 1.8758 - val_acc: 0.2000
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4331 - acc: 0.4222 - val_loss: 1.8757 - val_acc: 0.2000
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4332 - acc: 0.4222 - val_loss: 1.8757 - val_acc: 0.2000
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4331 - acc: 0.4222 - val_loss: 1.8755 - val_acc: 0.2000
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4332 - acc: 0.4222 - val_loss: 1.8767 - val_acc: 0.2000
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4330 - acc: 0.4222 - val_loss: 1.8771 - val_acc: 0.2000
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4331 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4329 - acc: 0.4222 - val_loss: 1.8743 - val_acc: 0.2000
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4328 - acc: 0.4222 - val_loss: 1.8722 - val_acc: 0.2000
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4328 - acc: 0.4222 - val_loss: 1.8728 - val_acc: 0.2000
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4329 - acc: 0.4222 - val_loss: 1.8712 - val_acc: 0.2000
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4327 - acc: 0.4222 - val_loss: 1.8704 - val_acc: 0.2000
Epoch 54/150
450/450 [==============================] - 24s - loss: 1.4327 - acc: 0.4222 - val_loss: 1.8727 - val_acc: 0.2000
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4325 - acc: 0.4222 - val_loss: 1.8725 - val_acc: 0.2000
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4326 - acc: 0.4222 - val_loss: 1.8721 - val_acc: 0.2000
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4327 - acc: 0.4222 - val_loss: 1.8750 - val_acc: 0.2000
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4324 - acc: 0.4222 - val_loss: 1.8750 - val_acc: 0.2000
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4323 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4325 - acc: 0.4222 - val_loss: 1.8727 - val_acc: 0.2000
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4323 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4327 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4321 - acc: 0.4222 - val_loss: 1.8746 - val_acc: 0.2000
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4322 - acc: 0.4222 - val_loss: 1.8736 - val_acc: 0.2000
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4323 - acc: 0.4222 - val_loss: 1.8736 - val_acc: 0.2000
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4320 - acc: 0.4222 - val_loss: 1.8742 - val_acc: 0.2000
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4321 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4321 - acc: 0.4222 - val_loss: 1.8735 - val_acc: 0.2000
Epoch 69/150
450/450 [==============================] - 24s - loss: 1.4321 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 70/150
450/450 [==============================] - 24s - loss: 1.4319 - acc: 0.4222 - val_loss: 1.8716 - val_acc: 0.2000
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4319 - acc: 0.4222 - val_loss: 1.8728 - val_acc: 0.2000
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4320 - acc: 0.4222 - val_loss: 1.8715 - val_acc: 0.2000
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.4318 - acc: 0.4222 - val_loss: 1.8715 - val_acc: 0.2000
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4318 - acc: 0.4222 - val_loss: 1.8745 - val_acc: 0.2000
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8742 - val_acc: 0.2000
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8743 - val_acc: 0.2000
Epoch 77/150
450/450 [==============================] - 26s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8724 - val_acc: 0.2000
Epoch 78/150
450/450 [==============================] - 31s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8717 - val_acc: 0.2000
Epoch 79/150
450/450 [==============================] - 28s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8718 - val_acc: 0.2000
Epoch 80/150
450/450 [==============================] - 31s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8725 - val_acc: 0.2000
Epoch 81/150
450/450 [==============================] - 29s - loss: 1.4316 - acc: 0.4222 - val_loss: 1.8739 - val_acc: 0.2000
Epoch 82/150
450/450 [==============================] - 30s - loss: 1.4317 - acc: 0.4222 - val_loss: 1.8762 - val_acc: 0.2000
Epoch 83/150
450/450 [==============================] - 29s - loss: 1.4314 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 84/150
450/450 [==============================] - 30s - loss: 1.4315 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 85/150
450/450 [==============================] - 28s - loss: 1.4314 - acc: 0.4222 - val_loss: 1.8754 - val_acc: 0.2000
Epoch 86/150
450/450 [==============================] - 33s - loss: 1.4313 - acc: 0.4222 - val_loss: 1.8740 - val_acc: 0.2000
Epoch 87/150
450/450 [==============================] - 30s - loss: 1.4313 - acc: 0.4222 - val_loss: 1.8748 - val_acc: 0.2000
Epoch 88/150
450/450 [==============================] - 28s - loss: 1.4312 - acc: 0.4222 - val_loss: 1.8739 - val_acc: 0.2000
Epoch 89/150
450/450 [==============================] - 31s - loss: 1.4313 - acc: 0.4222 - val_loss: 1.8727 - val_acc: 0.2000
Epoch 90/150
450/450 [==============================] - 29s - loss: 1.4312 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 91/150
450/450 [==============================] - 30s - loss: 1.4312 - acc: 0.4222 - val_loss: 1.8720 - val_acc: 0.2000
Epoch 92/150
450/450 [==============================] - 30s - loss: 1.4311 - acc: 0.4222 - val_loss: 1.8732 - val_acc: 0.2000
Epoch 93/150
450/450 [==============================] - 28s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8735 - val_acc: 0.2000
Epoch 94/150
450/450 [==============================] - 27s - loss: 1.4311 - acc: 0.4222 - val_loss: 1.8731 - val_acc: 0.2000
Epoch 95/150
450/450 [==============================] - 26s - loss: 1.4309 - acc: 0.4222 - val_loss: 1.8739 - val_acc: 0.2000
Epoch 96/150
450/450 [==============================] - 26s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8762 - val_acc: 0.2000
Epoch 97/150
450/450 [==============================] - 27s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8750 - val_acc: 0.2000
Epoch 98/150
450/450 [==============================] - 28s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8724 - val_acc: 0.2000
Epoch 99/150
450/450 [==============================] - 27s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8731 - val_acc: 0.2000
Epoch 100/150
450/450 [==============================] - 27s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8723 - val_acc: 0.2000
Epoch 101/150
450/450 [==============================] - 29s - loss: 1.4311 - acc: 0.4222 - val_loss: 1.8703 - val_acc: 0.2000
Epoch 102/150
450/450 [==============================] - 29s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8735 - val_acc: 0.2000
Epoch 103/150
450/450 [==============================] - 29s - loss: 1.4308 - acc: 0.4222 - val_loss: 1.8758 - val_acc: 0.2000
Epoch 104/150
450/450 [==============================] - 29s - loss: 1.4308 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 105/150
450/450 [==============================] - 30s - loss: 1.4307 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 106/150
450/450 [==============================] - 27s - loss: 1.4308 - acc: 0.4222 - val_loss: 1.8739 - val_acc: 0.2000
Epoch 107/150
450/450 [==============================] - 30s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8740 - val_acc: 0.2000
Epoch 108/150
450/450 [==============================] - 31s - loss: 1.4306 - acc: 0.4222 - val_loss: 1.8751 - val_acc: 0.2000
Epoch 109/150
450/450 [==============================] - 32s - loss: 1.4307 - acc: 0.4222 - val_loss: 1.8756 - val_acc: 0.2000
Epoch 110/150
450/450 [==============================] - 32s - loss: 1.4305 - acc: 0.4222 - val_loss: 1.8739 - val_acc: 0.2000
Epoch 111/150
450/450 [==============================] - 29s - loss: 1.4306 - acc: 0.4222 - val_loss: 1.8731 - val_acc: 0.2000
Epoch 112/150
450/450 [==============================] - 26s - loss: 1.4310 - acc: 0.4222 - val_loss: 1.8693 - val_acc: 0.2000
Epoch 113/150
450/450 [==============================] - 27s - loss: 1.4306 - acc: 0.4222 - val_loss: 1.8715 - val_acc: 0.2000
Epoch 114/150
450/450 [==============================] - 27s - loss: 1.4306 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 115/150
450/450 [==============================] - 28s - loss: 1.4305 - acc: 0.4222 - val_loss: 1.8751 - val_acc: 0.2000
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8737 - val_acc: 0.2000
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4306 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8756 - val_acc: 0.2000
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8752 - val_acc: 0.2000
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8763 - val_acc: 0.2000
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8757 - val_acc: 0.2000
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8732 - val_acc: 0.2000
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8742 - val_acc: 0.2000
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8754 - val_acc: 0.2000
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8753 - val_acc: 0.2000
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8745 - val_acc: 0.2000
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8741 - val_acc: 0.2000
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8746 - val_acc: 0.2000
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8738 - val_acc: 0.2000
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8738 - val_acc: 0.2000
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8753 - val_acc: 0.2000
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8748 - val_acc: 0.2000
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8755 - val_acc: 0.2000
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8759 - val_acc: 0.2000
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8751 - val_acc: 0.2000
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8759 - val_acc: 0.2000
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8751 - val_acc: 0.2000
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4303 - acc: 0.4222 - val_loss: 1.8749 - val_acc: 0.2000
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8747 - val_acc: 0.2000
Epoch 143/150
450/450 [==============================] - 24s - loss: 1.4300 - acc: 0.4222 - val_loss: 1.8756 - val_acc: 0.2000
Epoch 144/150
450/450 [==============================] - 24s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8742 - val_acc: 0.2000
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.4305 - acc: 0.4222 - val_loss: 1.8763 - val_acc: 0.2000
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4301 - acc: 0.4222 - val_loss: 1.8733 - val_acc: 0.2000
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.4302 - acc: 0.4222 - val_loss: 1.8732 - val_acc: 0.2000
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4300 - acc: 0.4222 - val_loss: 1.8731 - val_acc: 0.2000
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.4300 - acc: 0.4222 - val_loss: 1.8730 - val_acc: 0.2000
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4304 - acc: 0.4222 - val_loss: 1.8698 - val_acc: 0.2000
slither_data_new-15.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.4463 - acc: 0.4556 - val_loss: 1.4558 - val_acc: 0.2000
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4435 - acc: 0.4556 - val_loss: 1.4675 - val_acc: 0.2000
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4420 - acc: 0.4556 - val_loss: 1.4733 - val_acc: 0.2000
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.4413 - acc: 0.4556 - val_loss: 1.4738 - val_acc: 0.2000
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4406 - acc: 0.4556 - val_loss: 1.4780 - val_acc: 0.2000
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4400 - acc: 0.4556 - val_loss: 1.4775 - val_acc: 0.2000
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4395 - acc: 0.4556 - val_loss: 1.4765 - val_acc: 0.2000
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4391 - acc: 0.4556 - val_loss: 1.4712 - val_acc: 0.2000
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4398 - acc: 0.4556 - val_loss: 1.4619 - val_acc: 0.2000
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4386 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.4384 - acc: 0.4556 - val_loss: 1.4655 - val_acc: 0.2000
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.4383 - acc: 0.4556 - val_loss: 1.4665 - val_acc: 0.2000
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.4380 - acc: 0.4556 - val_loss: 1.4690 - val_acc: 0.2000
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.4379 - acc: 0.4556 - val_loss: 1.4708 - val_acc: 0.2000
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.4380 - acc: 0.4556 - val_loss: 1.4733 - val_acc: 0.2000
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.4377 - acc: 0.4556 - val_loss: 1.4691 - val_acc: 0.2000
Epoch 17/150
450/450 [==============================] - 24s - loss: 1.4378 - acc: 0.4556 - val_loss: 1.4644 - val_acc: 0.2000
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.4377 - acc: 0.4556 - val_loss: 1.4617 - val_acc: 0.2000
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4644 - val_acc: 0.2000
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4642 - val_acc: 0.2000
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4664 - val_acc: 0.2000
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.4373 - acc: 0.4556 - val_loss: 1.4681 - val_acc: 0.2000
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.4374 - acc: 0.4556 - val_loss: 1.4668 - val_acc: 0.2000
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4643 - val_acc: 0.2000
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4630 - val_acc: 0.2000
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.4375 - acc: 0.4556 - val_loss: 1.4668 - val_acc: 0.2000
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.4373 - acc: 0.4556 - val_loss: 1.4691 - val_acc: 0.2000
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4677 - val_acc: 0.2000
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4644 - val_acc: 0.2000
Epoch 30/150
450/450 [==============================] - 24s - loss: 1.4372 - acc: 0.4556 - val_loss: 1.4637 - val_acc: 0.2000
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4624 - val_acc: 0.2000
Epoch 32/150
450/450 [==============================] - 24s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4642 - val_acc: 0.2000
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4660 - val_acc: 0.2000
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4649 - val_acc: 0.2000
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4631 - val_acc: 0.2000
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4657 - val_acc: 0.2000
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4658 - val_acc: 0.2000
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4634 - val_acc: 0.2000
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4610 - val_acc: 0.2000
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.4372 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4645 - val_acc: 0.2000
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4647 - val_acc: 0.2000
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4657 - val_acc: 0.2000
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4628 - val_acc: 0.2000
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4631 - val_acc: 0.2000
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4623 - val_acc: 0.2000
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4605 - val_acc: 0.2000
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4628 - val_acc: 0.2000
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4641 - val_acc: 0.2000
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4635 - val_acc: 0.2000
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4642 - val_acc: 0.2000
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4652 - val_acc: 0.2000
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4639 - val_acc: 0.2000
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.4373 - acc: 0.4556 - val_loss: 1.4677 - val_acc: 0.2000
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4637 - val_acc: 0.2000
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4624 - val_acc: 0.2000
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4606 - val_acc: 0.2000
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4612 - val_acc: 0.2000
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4611 - val_acc: 0.2000
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4624 - val_acc: 0.2000
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4658 - val_acc: 0.2000
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4654 - val_acc: 0.2000
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.4374 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4656 - val_acc: 0.2000
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4662 - val_acc: 0.2000
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4617 - val_acc: 0.2000
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4617 - val_acc: 0.2000
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4616 - val_acc: 0.2000
Epoch 73/150
450/450 [==============================] - 24s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4616 - val_acc: 0.2000
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4623 - val_acc: 0.2000
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4607 - val_acc: 0.2000
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4623 - val_acc: 0.2000
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4646 - val_acc: 0.2000
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4659 - val_acc: 0.2000
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4670 - val_acc: 0.2000
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4649 - val_acc: 0.2000
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4646 - val_acc: 0.2000
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4647 - val_acc: 0.2000
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4588 - val_acc: 0.2000
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4625 - val_acc: 0.2000
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4618 - val_acc: 0.2000
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4634 - val_acc: 0.2000
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4645 - val_acc: 0.2000
Epoch 92/150
450/450 [==============================] - 24s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4636 - val_acc: 0.2000
Epoch 93/150
450/450 [==============================] - 24s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4640 - val_acc: 0.2000
Epoch 94/150
450/450 [==============================] - 24s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4600 - val_acc: 0.2000
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4609 - val_acc: 0.2000
Epoch 96/150
450/450 [==============================] - 24s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4597 - val_acc: 0.2000
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4663 - val_acc: 0.2000
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4653 - val_acc: 0.2000
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4642 - val_acc: 0.2000
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4611 - val_acc: 0.2000
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4642 - val_acc: 0.2000
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4636 - val_acc: 0.2000
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4646 - val_acc: 0.2000
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4647 - val_acc: 0.2000
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4650 - val_acc: 0.2000
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4652 - val_acc: 0.2000
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4635 - val_acc: 0.2000
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4608 - val_acc: 0.2000
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4607 - val_acc: 0.2000
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4615 - val_acc: 0.2000
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4656 - val_acc: 0.2000
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4645 - val_acc: 0.2000
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4611 - val_acc: 0.2000
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4627 - val_acc: 0.2000
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4641 - val_acc: 0.2000
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4645 - val_acc: 0.2000
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4647 - val_acc: 0.2000
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4624 - val_acc: 0.2000
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4630 - val_acc: 0.2000
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4625 - val_acc: 0.2000
Epoch 123/150
450/450 [==============================] - 24s - loss: 1.4370 - acc: 0.4556 - val_loss: 1.4635 - val_acc: 0.2000
Epoch 124/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4614 - val_acc: 0.2000
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4627 - val_acc: 0.2000
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4626 - val_acc: 0.2000
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4616 - val_acc: 0.2000
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4605 - val_acc: 0.2000
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4606 - val_acc: 0.2000
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4636 - val_acc: 0.2000
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4619 - val_acc: 0.2000
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.4373 - acc: 0.4556 - val_loss: 1.4673 - val_acc: 0.2000
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.4366 - acc: 0.4556 - val_loss: 1.4649 - val_acc: 0.2000
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.4366 - acc: 0.4556 - val_loss: 1.4634 - val_acc: 0.2000
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4617 - val_acc: 0.2000
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.4371 - acc: 0.4556 - val_loss: 1.4643 - val_acc: 0.2000
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4617 - val_acc: 0.2000
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4592 - val_acc: 0.2000
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4591 - val_acc: 0.2000
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4659 - val_acc: 0.2000
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4647 - val_acc: 0.2000
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4648 - val_acc: 0.2000
Epoch 145/150
450/450 [==============================] - 24s - loss: 1.4369 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4638 - val_acc: 0.2000
Epoch 147/150
450/450 [==============================] - 24s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4629 - val_acc: 0.2000
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.4368 - acc: 0.4556 - val_loss: 1.4628 - val_acc: 0.2000
Epoch 149/150
450/450 [==============================] - 24s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4612 - val_acc: 0.2000
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.4367 - acc: 0.4556 - val_loss: 1.4625 - val_acc: 0.2000
slither_data_new-16.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 26s - loss: 1.5900 - acc: 0.2644 - val_loss: 1.6747 - val_acc: 0.2800
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5697 - acc: 0.2644 - val_loss: 1.6654 - val_acc: 0.2800
Epoch 3/150
450/450 [==============================] - 24s - loss: 1.5558 - acc: 0.2644 - val_loss: 1.6579 - val_acc: 0.2800
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5437 - acc: 0.2644 - val_loss: 1.6519 - val_acc: 0.2800
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.5327 - acc: 0.3422 - val_loss: 1.6487 - val_acc: 0.2400
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.5266 - acc: 0.4111 - val_loss: 1.6475 - val_acc: 0.2400
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.5205 - acc: 0.4111 - val_loss: 1.6468 - val_acc: 0.2400
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.5185 - acc: 0.4111 - val_loss: 1.6484 - val_acc: 0.2400
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.5153 - acc: 0.4111 - val_loss: 1.6491 - val_acc: 0.2400
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.5137 - acc: 0.4111 - val_loss: 1.6508 - val_acc: 0.2400
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.5128 - acc: 0.4111 - val_loss: 1.6519 - val_acc: 0.2400
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.5113 - acc: 0.4111 - val_loss: 1.6506 - val_acc: 0.2400
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.5109 - acc: 0.4111 - val_loss: 1.6487 - val_acc: 0.2400
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.5102 - acc: 0.4111 - val_loss: 1.6478 - val_acc: 0.2400
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.5096 - acc: 0.4111 - val_loss: 1.6467 - val_acc: 0.2400
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.5091 - acc: 0.4111 - val_loss: 1.6450 - val_acc: 0.2400
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.5085 - acc: 0.4111 - val_loss: 1.6449 - val_acc: 0.2400
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.5085 - acc: 0.4111 - val_loss: 1.6457 - val_acc: 0.2400
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.5077 - acc: 0.4111 - val_loss: 1.6443 - val_acc: 0.2400
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.5073 - acc: 0.4111 - val_loss: 1.6433 - val_acc: 0.2400
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.5072 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.5070 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.5066 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.5065 - acc: 0.4111 - val_loss: 1.6436 - val_acc: 0.2400
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.5062 - acc: 0.4111 - val_loss: 1.6423 - val_acc: 0.2400
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.5059 - acc: 0.4111 - val_loss: 1.6425 - val_acc: 0.2400
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.5059 - acc: 0.4111 - val_loss: 1.6413 - val_acc: 0.2400
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.5055 - acc: 0.4111 - val_loss: 1.6402 - val_acc: 0.2400
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.5056 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.5053 - acc: 0.4111 - val_loss: 1.6414 - val_acc: 0.2400
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.5051 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.5051 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.5049 - acc: 0.4111 - val_loss: 1.6403 - val_acc: 0.2400
Epoch 34/150
450/450 [==============================] - 24s - loss: 1.5047 - acc: 0.4111 - val_loss: 1.6404 - val_acc: 0.2400
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.5049 - acc: 0.4111 - val_loss: 1.6413 - val_acc: 0.2400
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.5047 - acc: 0.4111 - val_loss: 1.6436 - val_acc: 0.2400
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.5045 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.5045 - acc: 0.4111 - val_loss: 1.6431 - val_acc: 0.2400
Epoch 39/150
450/450 [==============================] - 25s - loss: 1.5047 - acc: 0.4111 - val_loss: 1.6422 - val_acc: 0.2400
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.5044 - acc: 0.4111 - val_loss: 1.6408 - val_acc: 0.2400
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.5043 - acc: 0.4111 - val_loss: 1.6420 - val_acc: 0.2400
Epoch 42/150
450/450 [==============================] - 25s - loss: 1.5042 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.5043 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.5041 - acc: 0.4111 - val_loss: 1.6408 - val_acc: 0.2400
Epoch 45/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.4111 - val_loss: 1.6418 - val_acc: 0.2400
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.4111 - val_loss: 1.6412 - val_acc: 0.2400
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.4111 - val_loss: 1.6413 - val_acc: 0.2400
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.5041 - acc: 0.4111 - val_loss: 1.6435 - val_acc: 0.2400
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.5040 - acc: 0.4111 - val_loss: 1.6438 - val_acc: 0.2400
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.5037 - acc: 0.4111 - val_loss: 1.6443 - val_acc: 0.2400
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.5037 - acc: 0.4111 - val_loss: 1.6431 - val_acc: 0.2400
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 53/150
450/450 [==============================] - 24s - loss: 1.5038 - acc: 0.4111 - val_loss: 1.6407 - val_acc: 0.2400
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.4111 - val_loss: 1.6394 - val_acc: 0.2400
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.4111 - val_loss: 1.6402 - val_acc: 0.2400
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.5036 - acc: 0.4111 - val_loss: 1.6406 - val_acc: 0.2400
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.5035 - acc: 0.4111 - val_loss: 1.6401 - val_acc: 0.2400
Epoch 58/150
450/450 [==============================] - 25s - loss: 1.5038 - acc: 0.4111 - val_loss: 1.6440 - val_acc: 0.2400
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.5032 - acc: 0.4111 - val_loss: 1.6428 - val_acc: 0.2400
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.5033 - acc: 0.4111 - val_loss: 1.6425 - val_acc: 0.2400
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.5031 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.5031 - acc: 0.4111 - val_loss: 1.6428 - val_acc: 0.2400
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.5028 - acc: 0.4111 - val_loss: 1.6417 - val_acc: 0.2400
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.4111 - val_loss: 1.6422 - val_acc: 0.2400
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.4111 - val_loss: 1.6403 - val_acc: 0.2400
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.5030 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.5027 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.5026 - acc: 0.4111 - val_loss: 1.6418 - val_acc: 0.2400
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6420 - val_acc: 0.2400
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6428 - val_acc: 0.2400
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.5024 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.5025 - acc: 0.4111 - val_loss: 1.6410 - val_acc: 0.2400
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.5023 - acc: 0.4111 - val_loss: 1.6418 - val_acc: 0.2400
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.5024 - acc: 0.4111 - val_loss: 1.6419 - val_acc: 0.2400
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.5024 - acc: 0.4111 - val_loss: 1.6435 - val_acc: 0.2400
Epoch 83/150
450/450 [==============================] - 24s - loss: 1.5023 - acc: 0.4111 - val_loss: 1.6434 - val_acc: 0.2400
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.5023 - acc: 0.4111 - val_loss: 1.6410 - val_acc: 0.2400
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.4111 - val_loss: 1.6414 - val_acc: 0.2400
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.5021 - acc: 0.4111 - val_loss: 1.6414 - val_acc: 0.2400
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.5020 - acc: 0.4111 - val_loss: 1.6414 - val_acc: 0.2400
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.5023 - acc: 0.4111 - val_loss: 1.6434 - val_acc: 0.2400
Epoch 89/150
450/450 [==============================] - 24s - loss: 1.5019 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.4111 - val_loss: 1.6438 - val_acc: 0.2400
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.5019 - acc: 0.4111 - val_loss: 1.6403 - val_acc: 0.2400
Epoch 93/150
450/450 [==============================] - 24s - loss: 1.5018 - acc: 0.4111 - val_loss: 1.6404 - val_acc: 0.2400
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.5018 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.5017 - acc: 0.4111 - val_loss: 1.6425 - val_acc: 0.2400
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.5017 - acc: 0.4111 - val_loss: 1.6432 - val_acc: 0.2400
Epoch 97/150
450/450 [==============================] - 25s - loss: 1.5018 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.5017 - acc: 0.4111 - val_loss: 1.6407 - val_acc: 0.2400
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.4111 - val_loss: 1.6419 - val_acc: 0.2400
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.5016 - acc: 0.4111 - val_loss: 1.6444 - val_acc: 0.2400
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.5015 - acc: 0.4111 - val_loss: 1.6433 - val_acc: 0.2400
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 107/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.4111 - val_loss: 1.6428 - val_acc: 0.2400
Epoch 108/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 109/150
450/450 [==============================] - 25s - loss: 1.5014 - acc: 0.4111 - val_loss: 1.6413 - val_acc: 0.2400
Epoch 110/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.4111 - val_loss: 1.6416 - val_acc: 0.2400
Epoch 111/150
450/450 [==============================] - 25s - loss: 1.5012 - acc: 0.4111 - val_loss: 1.6424 - val_acc: 0.2400
Epoch 112/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.4111 - val_loss: 1.6429 - val_acc: 0.2400
Epoch 113/150
450/450 [==============================] - 25s - loss: 1.5012 - acc: 0.4111 - val_loss: 1.6430 - val_acc: 0.2400
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.4111 - val_loss: 1.6420 - val_acc: 0.2400
Epoch 115/150
450/450 [==============================] - 25s - loss: 1.5013 - acc: 0.4111 - val_loss: 1.6442 - val_acc: 0.2400
Epoch 116/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.4111 - val_loss: 1.6423 - val_acc: 0.2400
Epoch 117/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.4111 - val_loss: 1.6409 - val_acc: 0.2400
Epoch 118/150
450/450 [==============================] - 25s - loss: 1.5011 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 119/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 120/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 121/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 122/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.4111 - val_loss: 1.6415 - val_acc: 0.2400
Epoch 123/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.4111 - val_loss: 1.6424 - val_acc: 0.2400
Epoch 124/150
450/450 [==============================] - 24s - loss: 1.5008 - acc: 0.4111 - val_loss: 1.6424 - val_acc: 0.2400
Epoch 125/150
450/450 [==============================] - 25s - loss: 1.5010 - acc: 0.4111 - val_loss: 1.6435 - val_acc: 0.2400
Epoch 126/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6426 - val_acc: 0.2400
Epoch 127/150
450/450 [==============================] - 24s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6429 - val_acc: 0.2400
Epoch 128/150
450/450 [==============================] - 24s - loss: 1.5008 - acc: 0.4111 - val_loss: 1.6439 - val_acc: 0.2400
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.4111 - val_loss: 1.6438 - val_acc: 0.2400
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6439 - val_acc: 0.2400
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6423 - val_acc: 0.2400
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6431 - val_acc: 0.2400
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.4111 - val_loss: 1.6409 - val_acc: 0.2400
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.5008 - acc: 0.4111 - val_loss: 1.6412 - val_acc: 0.2400
Epoch 135/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6421 - val_acc: 0.2400
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6427 - val_acc: 0.2400
Epoch 137/150
450/450 [==============================] - 24s - loss: 1.5006 - acc: 0.4111 - val_loss: 1.6435 - val_acc: 0.2400
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.4111 - val_loss: 1.6439 - val_acc: 0.2400
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.4111 - val_loss: 1.6446 - val_acc: 0.2400
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.5009 - acc: 0.4111 - val_loss: 1.6420 - val_acc: 0.2400
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.4111 - val_loss: 1.6428 - val_acc: 0.2400
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6445 - val_acc: 0.2400
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.4111 - val_loss: 1.6431 - val_acc: 0.2400
Epoch 144/150
450/450 [==============================] - 25s - loss: 1.5006 - acc: 0.4111 - val_loss: 1.6423 - val_acc: 0.2400
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.4111 - val_loss: 1.6422 - val_acc: 0.2400
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6437 - val_acc: 0.2400
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.5004 - acc: 0.4111 - val_loss: 1.6437 - val_acc: 0.2400
Epoch 148/150
450/450 [==============================] - 24s - loss: 1.5006 - acc: 0.4111 - val_loss: 1.6439 - val_acc: 0.2400
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.5005 - acc: 0.4111 - val_loss: 1.6436 - val_acc: 0.2400
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.5007 - acc: 0.4111 - val_loss: 1.6424 - val_acc: 0.2400
slither_data_new-17.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.4082 - acc: 0.4133 - val_loss: 1.6377 - val_acc: 0.1000
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.4038 - acc: 0.4133 - val_loss: 1.6349 - val_acc: 0.1000
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.4012 - acc: 0.4133 - val_loss: 1.6307 - val_acc: 0.1000
Epoch 4/150
450/450 [==============================] - 24s - loss: 1.3993 - acc: 0.4133 - val_loss: 1.6282 - val_acc: 0.1000
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.3974 - acc: 0.4133 - val_loss: 1.6286 - val_acc: 0.1000
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.3961 - acc: 0.4133 - val_loss: 1.6323 - val_acc: 0.1000
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.3949 - acc: 0.4133 - val_loss: 1.6330 - val_acc: 0.1000
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.3943 - acc: 0.4133 - val_loss: 1.6317 - val_acc: 0.1000
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.3936 - acc: 0.4133 - val_loss: 1.6334 - val_acc: 0.1000
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.3929 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 11/150
450/450 [==============================] - 24s - loss: 1.3925 - acc: 0.4133 - val_loss: 1.6337 - val_acc: 0.1000
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.3922 - acc: 0.4133 - val_loss: 1.6339 - val_acc: 0.1000
Epoch 13/150
450/450 [==============================] - 24s - loss: 1.3920 - acc: 0.4133 - val_loss: 1.6312 - val_acc: 0.1000
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.3918 - acc: 0.4133 - val_loss: 1.6334 - val_acc: 0.1000
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.3912 - acc: 0.4133 - val_loss: 1.6351 - val_acc: 0.1000
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.3911 - acc: 0.4133 - val_loss: 1.6362 - val_acc: 0.1000
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.3909 - acc: 0.4133 - val_loss: 1.6358 - val_acc: 0.1000
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.3909 - acc: 0.4133 - val_loss: 1.6337 - val_acc: 0.1000
Epoch 19/150
450/450 [==============================] - 24s - loss: 1.3908 - acc: 0.4133 - val_loss: 1.6328 - val_acc: 0.1000
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.3906 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.3906 - acc: 0.4133 - val_loss: 1.6334 - val_acc: 0.1000
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.3905 - acc: 0.4133 - val_loss: 1.6355 - val_acc: 0.1000
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.3907 - acc: 0.4133 - val_loss: 1.6374 - val_acc: 0.1000
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.3905 - acc: 0.4133 - val_loss: 1.6350 - val_acc: 0.1000
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6355 - val_acc: 0.1000
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6362 - val_acc: 0.1000
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6363 - val_acc: 0.1000
Epoch 28/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6363 - val_acc: 0.1000
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6361 - val_acc: 0.1000
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.3903 - acc: 0.4133 - val_loss: 1.6376 - val_acc: 0.1000
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6378 - val_acc: 0.1000
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6365 - val_acc: 0.1000
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6341 - val_acc: 0.1000
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6320 - val_acc: 0.1000
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 37/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6326 - val_acc: 0.1000
Epoch 38/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6365 - val_acc: 0.1000
Epoch 39/150
450/450 [==============================] - 24s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6352 - val_acc: 0.1000
Epoch 40/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6377 - val_acc: 0.1000
Epoch 41/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6363 - val_acc: 0.1000
Epoch 42/150
450/450 [==============================] - 24s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6371 - val_acc: 0.1000
Epoch 43/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6385 - val_acc: 0.1000
Epoch 44/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6364 - val_acc: 0.1000
Epoch 45/150
450/450 [==============================] - 24s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6377 - val_acc: 0.1000
Epoch 46/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6339 - val_acc: 0.1000
Epoch 47/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6345 - val_acc: 0.1000
Epoch 48/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6373 - val_acc: 0.1000
Epoch 49/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6311 - val_acc: 0.1000
Epoch 50/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6319 - val_acc: 0.1000
Epoch 51/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6349 - val_acc: 0.1000
Epoch 52/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6386 - val_acc: 0.1000
Epoch 53/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6358 - val_acc: 0.1000
Epoch 54/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6341 - val_acc: 0.1000
Epoch 55/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6375 - val_acc: 0.1000
Epoch 56/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6380 - val_acc: 0.1000
Epoch 57/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6364 - val_acc: 0.1000
Epoch 58/150
450/450 [==============================] - 24s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6338 - val_acc: 0.1000
Epoch 59/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6355 - val_acc: 0.1000
Epoch 60/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6348 - val_acc: 0.1000
Epoch 61/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6341 - val_acc: 0.1000
Epoch 62/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6370 - val_acc: 0.1000
Epoch 63/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6345 - val_acc: 0.1000
Epoch 64/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6372 - val_acc: 0.1000
Epoch 65/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6360 - val_acc: 0.1000
Epoch 66/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6372 - val_acc: 0.1000
Epoch 67/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6326 - val_acc: 0.1000
Epoch 68/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6358 - val_acc: 0.1000
Epoch 69/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6339 - val_acc: 0.1000
Epoch 70/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6320 - val_acc: 0.1000
Epoch 71/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6333 - val_acc: 0.1000
Epoch 72/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6388 - val_acc: 0.1000
Epoch 73/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6380 - val_acc: 0.1000
Epoch 74/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6375 - val_acc: 0.1000
Epoch 75/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6368 - val_acc: 0.1000
Epoch 76/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6344 - val_acc: 0.1000
Epoch 77/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6372 - val_acc: 0.1000
Epoch 78/150
450/450 [==============================] - 25s - loss: 1.3901 - acc: 0.4133 - val_loss: 1.6368 - val_acc: 0.1000
Epoch 79/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6347 - val_acc: 0.1000
Epoch 80/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6321 - val_acc: 0.1000
Epoch 81/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6329 - val_acc: 0.1000
Epoch 82/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6328 - val_acc: 0.1000
Epoch 83/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6363 - val_acc: 0.1000
Epoch 84/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6343 - val_acc: 0.1000
Epoch 85/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6349 - val_acc: 0.1000
Epoch 86/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6387 - val_acc: 0.1000
Epoch 87/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6376 - val_acc: 0.1000
Epoch 88/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6395 - val_acc: 0.1000
Epoch 89/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6388 - val_acc: 0.1000
Epoch 90/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6383 - val_acc: 0.1000
Epoch 91/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6374 - val_acc: 0.1000
Epoch 92/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6346 - val_acc: 0.1000
Epoch 93/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6338 - val_acc: 0.1000
Epoch 94/150
450/450 [==============================] - 25s - loss: 1.3903 - acc: 0.4133 - val_loss: 1.6382 - val_acc: 0.1000
Epoch 95/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6339 - val_acc: 0.1000
Epoch 96/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6337 - val_acc: 0.1000
Epoch 97/150
450/450 [==============================] - 24s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6319 - val_acc: 0.1000
Epoch 98/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6350 - val_acc: 0.1000
Epoch 99/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6335 - val_acc: 0.1000
Epoch 100/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6312 - val_acc: 0.1000
Epoch 101/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6326 - val_acc: 0.1000
Epoch 102/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6344 - val_acc: 0.1000
Epoch 103/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6401 - val_acc: 0.1000
Epoch 104/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6397 - val_acc: 0.1000
Epoch 105/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6368 - val_acc: 0.1000
Epoch 106/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6364 - val_acc: 0.1000
Epoch 107/150
450/450 [==============================] - 31s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6343 - val_acc: 0.1000
Epoch 108/150
450/450 [==============================] - 28s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6327 - val_acc: 0.1000
Epoch 109/150
450/450 [==============================] - 29s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6364 - val_acc: 0.1000
Epoch 110/150
450/450 [==============================] - 27s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6356 - val_acc: 0.1000
Epoch 111/150
450/450 [==============================] - 27s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6323 - val_acc: 0.1000
Epoch 112/150
450/450 [==============================] - 27s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6344 - val_acc: 0.1000
Epoch 113/150
450/450 [==============================] - 27s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6370 - val_acc: 0.1000
Epoch 114/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6406 - val_acc: 0.1000
Epoch 115/150
450/450 [==============================] - 28s - loss: 1.3896 - acc: 0.4133 - val_loss: 1.6382 - val_acc: 0.1000
Epoch 116/150
450/450 [==============================] - 26s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6385 - val_acc: 0.1000
Epoch 117/150
450/450 [==============================] - 27s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 118/150
450/450 [==============================] - 26s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6324 - val_acc: 0.1000
Epoch 119/150
450/450 [==============================] - 26s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6345 - val_acc: 0.1000
Epoch 120/150
450/450 [==============================] - 28s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6359 - val_acc: 0.1000
Epoch 121/150
450/450 [==============================] - 27s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6347 - val_acc: 0.1000
Epoch 122/150
450/450 [==============================] - 32s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6332 - val_acc: 0.1000
Epoch 123/150
450/450 [==============================] - 28s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6319 - val_acc: 0.1000
Epoch 124/150
450/450 [==============================] - 26s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6320 - val_acc: 0.1000
Epoch 125/150
450/450 [==============================] - 33s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6348 - val_acc: 0.1000
Epoch 126/150
450/450 [==============================] - 27s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6368 - val_acc: 0.1000
Epoch 127/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6349 - val_acc: 0.1000
Epoch 128/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6341 - val_acc: 0.1000
Epoch 129/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6360 - val_acc: 0.1000
Epoch 130/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6379 - val_acc: 0.1000
Epoch 131/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6348 - val_acc: 0.1000
Epoch 132/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6339 - val_acc: 0.1000
Epoch 133/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6377 - val_acc: 0.1000
Epoch 134/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6378 - val_acc: 0.1000
Epoch 135/150
450/450 [==============================] - 26s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6387 - val_acc: 0.1000
Epoch 136/150
450/450 [==============================] - 25s - loss: 1.3899 - acc: 0.4133 - val_loss: 1.6373 - val_acc: 0.1000
Epoch 137/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6348 - val_acc: 0.1000
Epoch 138/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6370 - val_acc: 0.1000
Epoch 139/150
450/450 [==============================] - 25s - loss: 1.3900 - acc: 0.4133 - val_loss: 1.6346 - val_acc: 0.1000
Epoch 140/150
450/450 [==============================] - 25s - loss: 1.3896 - acc: 0.4133 - val_loss: 1.6342 - val_acc: 0.1000
Epoch 141/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6327 - val_acc: 0.1000
Epoch 142/150
450/450 [==============================] - 25s - loss: 1.3902 - acc: 0.4133 - val_loss: 1.6383 - val_acc: 0.1000
Epoch 143/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6357 - val_acc: 0.1000
Epoch 144/150
450/450 [==============================] - 26s - loss: 1.3896 - acc: 0.4133 - val_loss: 1.6344 - val_acc: 0.1000
Epoch 145/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6374 - val_acc: 0.1000
Epoch 146/150
450/450 [==============================] - 25s - loss: 1.3898 - acc: 0.4133 - val_loss: 1.6349 - val_acc: 0.1000
Epoch 147/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6348 - val_acc: 0.1000
Epoch 148/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6355 - val_acc: 0.1000
Epoch 149/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6353 - val_acc: 0.1000
Epoch 150/150
450/450 [==============================] - 25s - loss: 1.3897 - acc: 0.4133 - val_loss: 1.6352 - val_acc: 0.1000
slither_data_new-18.npy
(500, 400, 200, 1) (500, 2)
Train on 450 samples, validate on 50 samples
Epoch 1/150
450/450 [==============================] - 25s - loss: 1.6150 - acc: 0.0889 - val_loss: 1.6978 - val_acc: 0.2600
Epoch 2/150
450/450 [==============================] - 25s - loss: 1.5757 - acc: 0.0889 - val_loss: 1.6895 - val_acc: 0.2600
Epoch 3/150
450/450 [==============================] - 25s - loss: 1.5415 - acc: 0.1800 - val_loss: 1.6851 - val_acc: 0.2200
Epoch 4/150
450/450 [==============================] - 25s - loss: 1.5118 - acc: 0.4800 - val_loss: 1.6837 - val_acc: 0.2200
Epoch 5/150
450/450 [==============================] - 25s - loss: 1.4849 - acc: 0.4800 - val_loss: 1.6849 - val_acc: 0.2200
Epoch 6/150
450/450 [==============================] - 25s - loss: 1.4625 - acc: 0.4800 - val_loss: 1.6888 - val_acc: 0.2200
Epoch 7/150
450/450 [==============================] - 25s - loss: 1.4442 - acc: 0.4800 - val_loss: 1.6943 - val_acc: 0.2200
Epoch 8/150
450/450 [==============================] - 25s - loss: 1.4281 - acc: 0.4800 - val_loss: 1.6999 - val_acc: 0.2200
Epoch 9/150
450/450 [==============================] - 25s - loss: 1.4153 - acc: 0.4800 - val_loss: 1.7077 - val_acc: 0.2200
Epoch 10/150
450/450 [==============================] - 25s - loss: 1.4037 - acc: 0.4800 - val_loss: 1.7150 - val_acc: 0.2200
Epoch 11/150
450/450 [==============================] - 25s - loss: 1.3954 - acc: 0.4800 - val_loss: 1.7238 - val_acc: 0.2200
Epoch 12/150
450/450 [==============================] - 25s - loss: 1.3876 - acc: 0.4800 - val_loss: 1.7312 - val_acc: 0.2200
Epoch 13/150
450/450 [==============================] - 25s - loss: 1.3812 - acc: 0.4800 - val_loss: 1.7395 - val_acc: 0.2200
Epoch 14/150
450/450 [==============================] - 25s - loss: 1.3764 - acc: 0.4800 - val_loss: 1.7467 - val_acc: 0.2200
Epoch 15/150
450/450 [==============================] - 25s - loss: 1.3721 - acc: 0.4800 - val_loss: 1.7536 - val_acc: 0.2200
Epoch 16/150
450/450 [==============================] - 25s - loss: 1.3686 - acc: 0.4800 - val_loss: 1.7607 - val_acc: 0.2200
Epoch 17/150
450/450 [==============================] - 25s - loss: 1.3654 - acc: 0.4800 - val_loss: 1.7666 - val_acc: 0.2200
Epoch 18/150
450/450 [==============================] - 25s - loss: 1.3628 - acc: 0.4800 - val_loss: 1.7728 - val_acc: 0.2200
Epoch 19/150
450/450 [==============================] - 25s - loss: 1.3606 - acc: 0.4800 - val_loss: 1.7781 - val_acc: 0.2200
Epoch 20/150
450/450 [==============================] - 25s - loss: 1.3589 - acc: 0.4800 - val_loss: 1.7840 - val_acc: 0.2200
Epoch 21/150
450/450 [==============================] - 25s - loss: 1.3572 - acc: 0.4800 - val_loss: 1.7896 - val_acc: 0.2200
Epoch 22/150
450/450 [==============================] - 25s - loss: 1.3560 - acc: 0.4800 - val_loss: 1.7949 - val_acc: 0.2200
Epoch 23/150
450/450 [==============================] - 25s - loss: 1.3547 - acc: 0.4800 - val_loss: 1.7983 - val_acc: 0.2200
Epoch 24/150
450/450 [==============================] - 25s - loss: 1.3535 - acc: 0.4800 - val_loss: 1.8011 - val_acc: 0.2200
Epoch 25/150
450/450 [==============================] - 25s - loss: 1.3528 - acc: 0.4800 - val_loss: 1.8056 - val_acc: 0.2200
Epoch 26/150
450/450 [==============================] - 25s - loss: 1.3520 - acc: 0.4800 - val_loss: 1.8094 - val_acc: 0.2200
Epoch 27/150
450/450 [==============================] - 25s - loss: 1.3513 - acc: 0.4800 - val_loss: 1.8133 - val_acc: 0.2200
Epoch 28/150
450/450 [==============================] - 24s - loss: 1.3508 - acc: 0.4800 - val_loss: 1.8178 - val_acc: 0.2200
Epoch 29/150
450/450 [==============================] - 25s - loss: 1.3500 - acc: 0.4800 - val_loss: 1.8200 - val_acc: 0.2200
Epoch 30/150
450/450 [==============================] - 25s - loss: 1.3496 - acc: 0.4800 - val_loss: 1.8222 - val_acc: 0.2200
Epoch 31/150
450/450 [==============================] - 25s - loss: 1.3491 - acc: 0.4800 - val_loss: 1.8239 - val_acc: 0.2200
Epoch 32/150
450/450 [==============================] - 25s - loss: 1.3487 - acc: 0.4800 - val_loss: 1.8259 - val_acc: 0.2200
Epoch 33/150
450/450 [==============================] - 25s - loss: 1.3484 - acc: 0.4800 - val_loss: 1.8279 - val_acc: 0.2200
Epoch 34/150
450/450 [==============================] - 25s - loss: 1.3480 - acc: 0.4800 - val_loss: 1.8301 - val_acc: 0.2200
Epoch 35/150
450/450 [==============================] - 25s - loss: 1.3476 - acc: 0.4800 - val_loss: 1.8313 - val_acc: 0.2200
Epoch 36/150
450/450 [==============================] - 25s - loss: 1.3474 - acc: 0.4800 - val_loss: 1.8316 - val_acc: 0.2200
Epoch 37/150
225/450 [==============>...............] - ETA: 12s - loss: 1.3264 - acc: 0.4844



In [13]:

    
model.save(MODEL_NAME)



In [19]:

    
test = train_data[-500:]
test_x = np.array([i[0] for i in test]).reshape(-1,WIDTH,HEIGHT,1)
test_x = test_x.astype('float32') / 255.
test_y = [j[1] for j in test]
print (model.predict(X[400].reshape(-1, WIDTH,HEIGHT,1)))
print (Y[400])









    



[[  0.00000000e+00   1.57450884e-07   9.99999881e-01   1.29543271e-14
    2.98004217e-16   3.28757949e-14   6.16917367e-37   1.32911344e-21
    1.78057617e-18]]
2



In [20]:

    
test_y[1]









    Out[20]:





4



In [22]:

    
model.predict(test_x[1].reshape(-1, WIDTH,HEIGHT,1))[0]









    Out[22]:





array([  2.68591904e-19,   7.51272137e-06,   3.52000853e-07,
         1.08223119e-07,   9.99984026e-01,   8.92692021e-14,
         1.55771559e-17,   8.04780029e-06,   2.92815089e-14], dtype=float32)



In [23]:

    
np.ceil(model.predict(test_x[400].reshape(-1,WIDTH,HEIGHT,1))/45)[0][0]









    Out[23]:





1.0



In [24]:

    
test_y[400]/45









    Out[24]:





0.044444444444444446



In [ ]: