用keras实现异或(XOR)


In [1]:
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
import numpy as np


Using TensorFlow backend.

设置每次训练使用的样本数(batch size), 分类的数量(number of class),以及训练的次数(epoch)


In [2]:
batch_size = 1
num_classes = 1
epochs = 1000

训练数据&测试数据


In [3]:
x_train = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
x_test = np.array([[0, 0], [1, 0]])
y_train = np.array([[0], [1], [1], [0]])
y_test = np.array([[0], [1]])

In [4]:
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')


4 train samples
2 test samples

定义一个序贯模型


In [5]:
model = Sequential()

下面添加一个全连接层,输入层有2个特征,后面的隐藏层有2个单元,且隐藏层的激活函数为tanh 所有层的bias都是自动添加的


In [6]:
model.add(Dense(2, activation='tanh', input_shape=(2,)))

最后的输出也是一个全连接层,激活函数为sigmoid


In [7]:
model.add(Dense(1, activation='sigmoid'))

In [8]:
model.summary()


_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
dense_1 (Dense)              (None, 2)                 6         
_________________________________________________________________
dense_2 (Dense)              (None, 1)                 3         
=================================================================
Total params: 9
Trainable params: 9
Non-trainable params: 0
_________________________________________________________________

选择随机梯度下降方法(SGD)训练网络,设置学习率


In [14]:
sgd = SGD(lr=0.7)

编译模型,使用二分类的交叉熵(binary_crossentropy)作为代价函数


In [15]:
model.compile(loss='binary_crossentropy',
              optimizer=sgd,
              metrics=['accuracy'])

训练模型,包含了前向传播、求参数的梯度和反向传播 使用验证数据进行验证


In [ ]:
history = model.fit(x_train, y_train,
                    batch_size=batch_size,
                    epochs=epochs,
                    verbose=1,
                    validation_data=(x_test, y_test))


Train on 4 samples, validate on 2 samples
Epoch 1/1000
4/4 [==============================] - 5s - loss: 0.8883 - acc: 0.2500 - val_loss: 0.7424 - val_acc: 0.5000
Epoch 2/1000
4/4 [==============================] - 0s - loss: 0.8921 - acc: 0.2500 - val_loss: 0.6907 - val_acc: 0.5000
Epoch 3/1000
4/4 [==============================] - 0s - loss: 0.8834 - acc: 0.2500 - val_loss: 0.6577 - val_acc: 0.5000
Epoch 4/1000
4/4 [==============================] - 0s - loss: 0.9035 - acc: 0.0000e+00 - val_loss: 0.6837 - val_acc: 0.5000
Epoch 5/1000
4/4 [==============================] - 0s - loss: 0.9052 - acc: 0.2500 - val_loss: 0.6694 - val_acc: 0.5000
Epoch 6/1000
4/4 [==============================] - 0s - loss: 0.9037 - acc: 0.0000e+00 - val_loss: 0.6459 - val_acc: 0.5000
Epoch 7/1000
4/4 [==============================] - 0s - loss: 0.8907 - acc: 0.0000e+00 - val_loss: 0.6286 - val_acc: 1.0000
Epoch 8/1000
4/4 [==============================] - 0s - loss: 0.8954 - acc: 0.2500 - val_loss: 0.6974 - val_acc: 0.5000
Epoch 9/1000
4/4 [==============================] - 0s - loss: 0.8295 - acc: 0.5000 - val_loss: 0.6115 - val_acc: 0.5000
Epoch 10/1000
4/4 [==============================] - 0s - loss: 0.8972 - acc: 0.2500 - val_loss: 0.6703 - val_acc: 0.5000
Epoch 11/1000
4/4 [==============================] - 0s - loss: 0.8949 - acc: 0.5000 - val_loss: 0.6059 - val_acc: 1.0000
Epoch 12/1000
4/4 [==============================] - 0s - loss: 0.8570 - acc: 0.5000 - val_loss: 0.7031 - val_acc: 0.5000
Epoch 13/1000
4/4 [==============================] - 0s - loss: 0.8445 - acc: 0.2500 - val_loss: 0.5414 - val_acc: 1.0000
Epoch 14/1000
4/4 [==============================] - 0s - loss: 0.8043 - acc: 0.5000 - val_loss: 0.6298 - val_acc: 0.5000
Epoch 15/1000
4/4 [==============================] - 0s - loss: 0.8930 - acc: 0.2500 - val_loss: 0.5908 - val_acc: 0.5000
Epoch 16/1000
4/4 [==============================] - 0s - loss: 0.8393 - acc: 0.5000 - val_loss: 0.5898 - val_acc: 0.5000
Epoch 17/1000
4/4 [==============================] - 0s - loss: 0.7964 - acc: 0.7500 - val_loss: 0.5986 - val_acc: 0.5000
Epoch 18/1000
4/4 [==============================] - 0s - loss: 0.8416 - acc: 0.2500 - val_loss: 0.3794 - val_acc: 1.0000
Epoch 19/1000
4/4 [==============================] - 0s - loss: 0.7999 - acc: 0.5000 - val_loss: 0.3428 - val_acc: 1.0000
Epoch 20/1000
4/4 [==============================] - 0s - loss: 0.7403 - acc: 0.2500 - val_loss: 0.3185 - val_acc: 1.0000
Epoch 21/1000
4/4 [==============================] - 0s - loss: 0.7854 - acc: 0.5000 - val_loss: 0.2546 - val_acc: 1.0000
Epoch 22/1000
4/4 [==============================] - 0s - loss: 0.7793 - acc: 0.5000 - val_loss: 0.2468 - val_acc: 1.0000
Epoch 23/1000
4/4 [==============================] - 0s - loss: 0.6816 - acc: 0.7500 - val_loss: 0.4453 - val_acc: 0.5000
Epoch 24/1000
4/4 [==============================] - 0s - loss: 0.7500 - acc: 0.5000 - val_loss: 0.2819 - val_acc: 1.0000
Epoch 25/1000
4/4 [==============================] - 0s - loss: 0.6884 - acc: 0.5000 - val_loss: 0.2077 - val_acc: 1.0000
Epoch 26/1000
4/4 [==============================] - 0s - loss: 0.6846 - acc: 0.7500 - val_loss: 0.3514 - val_acc: 1.0000
Epoch 27/1000
4/4 [==============================] - 0s - loss: 0.6437 - acc: 0.7500 - val_loss: 0.5206 - val_acc: 0.5000
Epoch 28/1000
4/4 [==============================] - 0s - loss: 0.6229 - acc: 0.7500 - val_loss: 0.2417 - val_acc: 1.0000
Epoch 29/1000
4/4 [==============================] - 0s - loss: 0.6448 - acc: 0.7500 - val_loss: 0.4112 - val_acc: 0.5000
Epoch 30/1000
4/4 [==============================] - 0s - loss: 0.6481 - acc: 0.5000 - val_loss: 0.2583 - val_acc: 1.0000
Epoch 31/1000
4/4 [==============================] - 0s - loss: 0.6359 - acc: 0.5000 - val_loss: 0.2110 - val_acc: 1.0000
Epoch 32/1000
4/4 [==============================] - 0s - loss: 0.6002 - acc: 0.7500 - val_loss: 0.4671 - val_acc: 0.5000
Epoch 33/1000
4/4 [==============================] - 0s - loss: 0.6139 - acc: 0.7500 - val_loss: 0.2606 - val_acc: 1.0000
Epoch 34/1000
4/4 [==============================] - 0s - loss: 0.5785 - acc: 0.7500 - val_loss: 0.5057 - val_acc: 0.5000
Epoch 35/1000
4/4 [==============================] - 0s - loss: 0.5552 - acc: 0.7500 - val_loss: 0.2438 - val_acc: 1.0000
Epoch 36/1000
4/4 [==============================] - 0s - loss: 0.6506 - acc: 0.5000 - val_loss: 0.2148 - val_acc: 1.0000
Epoch 37/1000
4/4 [==============================] - 0s - loss: 0.5686 - acc: 0.7500 - val_loss: 0.4843 - val_acc: 0.5000
Epoch 38/1000
4/4 [==============================] - 0s - loss: 0.6182 - acc: 0.5000 - val_loss: 0.5417 - val_acc: 0.5000
Epoch 39/1000
4/4 [==============================] - 0s - loss: 0.5638 - acc: 0.7500 - val_loss: 0.2588 - val_acc: 1.0000
Epoch 40/1000
4/4 [==============================] - 0s - loss: 0.5570 - acc: 0.7500 - val_loss: 0.5118 - val_acc: 0.5000
Epoch 41/1000
4/4 [==============================] - 0s - loss: 0.6045 - acc: 0.5000 - val_loss: 0.5899 - val_acc: 0.5000
Epoch 42/1000
4/4 [==============================] - 0s - loss: 0.5668 - acc: 0.7500 - val_loss: 0.2674 - val_acc: 1.0000
Epoch 43/1000
4/4 [==============================] - 0s - loss: 0.5533 - acc: 0.7500 - val_loss: 0.5144 - val_acc: 0.5000
Epoch 44/1000
4/4 [==============================] - 0s - loss: 0.5534 - acc: 0.7500 - val_loss: 0.2497 - val_acc: 1.0000
Epoch 45/1000
4/4 [==============================] - 0s - loss: 0.5497 - acc: 0.7500 - val_loss: 0.5056 - val_acc: 0.5000
Epoch 46/1000
4/4 [==============================] - 0s - loss: 0.5984 - acc: 0.5000 - val_loss: 0.5831 - val_acc: 0.5000
Epoch 47/1000
4/4 [==============================] - 0s - loss: 0.5453 - acc: 0.7500 - val_loss: 0.2572 - val_acc: 1.0000
Epoch 48/1000
4/4 [==============================] - 0s - loss: 0.5508 - acc: 0.7500 - val_loss: 0.5056 - val_acc: 0.5000
Epoch 49/1000
4/4 [==============================] - 0s - loss: 0.5531 - acc: 0.7500 - val_loss: 0.2511 - val_acc: 1.0000
Epoch 50/1000
4/4 [==============================] - 0s - loss: 0.5941 - acc: 0.5000 - val_loss: 0.2057 - val_acc: 1.0000
Epoch 51/1000
4/4 [==============================] - 0s - loss: 0.5455 - acc: 0.7500 - val_loss: 0.4810 - val_acc: 0.5000
Epoch 52/1000
4/4 [==============================] - 0s - loss: 0.5448 - acc: 0.7500 - val_loss: 0.2386 - val_acc: 1.0000
Epoch 53/1000
4/4 [==============================] - 0s - loss: 0.5482 - acc: 0.7500 - val_loss: 0.4845 - val_acc: 0.5000
Epoch 54/1000
4/4 [==============================] - 0s - loss: 0.5436 - acc: 0.7500 - val_loss: 0.2402 - val_acc: 1.0000
Epoch 55/1000
4/4 [==============================] - 0s - loss: 0.5416 - acc: 0.7500 - val_loss: 0.4995 - val_acc: 0.5000
Epoch 56/1000
4/4 [==============================] - 0s - loss: 0.5425 - acc: 0.7500 - val_loss: 0.2424 - val_acc: 1.0000
Epoch 57/1000
4/4 [==============================] - 0s - loss: 0.5914 - acc: 0.5000 - val_loss: 0.2014 - val_acc: 1.0000
Epoch 58/1000
4/4 [==============================] - 0s - loss: 0.5406 - acc: 0.7500 - val_loss: 0.4791 - val_acc: 0.5000
Epoch 59/1000
4/4 [==============================] - 0s - loss: 0.5410 - acc: 0.7500 - val_loss: 0.2368 - val_acc: 1.0000
Epoch 60/1000
4/4 [==============================] - 0s - loss: 0.5426 - acc: 0.7500 - val_loss: 0.4876 - val_acc: 0.5000
Epoch 61/1000
4/4 [==============================] - 0s - loss: 0.5840 - acc: 0.5000 - val_loss: 0.5765 - val_acc: 0.5000
Epoch 62/1000
4/4 [==============================] - 0s - loss: 0.5373 - acc: 0.7500 - val_loss: 0.2524 - val_acc: 1.0000
Epoch 63/1000
4/4 [==============================] - 0s - loss: 0.5808 - acc: 0.5000 - val_loss: 0.2012 - val_acc: 1.0000
Epoch 64/1000
4/4 [==============================] - 0s - loss: 0.6079 - acc: 0.5000 - val_loss: 0.1933 - val_acc: 1.0000
Epoch 65/1000
4/4 [==============================] - 0s - loss: 0.6089 - acc: 0.5000 - val_loss: 0.1879 - val_acc: 1.0000
Epoch 66/1000
4/4 [==============================] - 0s - loss: 0.5402 - acc: 0.7500 - val_loss: 0.4700 - val_acc: 0.5000
Epoch 67/1000
4/4 [==============================] - 0s - loss: 0.5358 - acc: 0.7500 - val_loss: 0.2343 - val_acc: 1.0000
Epoch 68/1000
4/4 [==============================] - 0s - loss: 0.5383 - acc: 0.7500 - val_loss: 0.4903 - val_acc: 0.5000
Epoch 69/1000
4/4 [==============================] - 0s - loss: 0.5835 - acc: 0.5000 - val_loss: 0.5719 - val_acc: 0.5000
Epoch 70/1000
4/4 [==============================] - 0s - loss: 0.6022 - acc: 0.5000 - val_loss: 0.5988 - val_acc: 0.5000
Epoch 71/1000
4/4 [==============================] - 0s - loss: 0.6096 - acc: 0.5000 - val_loss: 0.5977 - val_acc: 0.5000
Epoch 72/1000
4/4 [==============================] - 0s - loss: 0.6093 - acc: 0.5000 - val_loss: 0.5983 - val_acc: 0.5000
Epoch 73/1000
4/4 [==============================] - 0s - loss: 0.5368 - acc: 0.7500 - val_loss: 0.2575 - val_acc: 1.0000
Epoch 74/1000
4/4 [==============================] - 0s - loss: 0.5769 - acc: 0.5000 - val_loss: 0.2013 - val_acc: 1.0000
Epoch 75/1000
4/4 [==============================] - 0s - loss: 0.5382 - acc: 0.7500 - val_loss: 0.4731 - val_acc: 0.5000
Epoch 76/1000
4/4 [==============================] - 0s - loss: 0.5347 - acc: 0.7500 - val_loss: 0.2363 - val_acc: 1.0000
Epoch 77/1000
4/4 [==============================] - 0s - loss: 0.5342 - acc: 0.7500 - val_loss: 0.4968 - val_acc: 0.5000
Epoch 78/1000
4/4 [==============================] - 0s - loss: 0.5345 - acc: 0.7500 - val_loss: 0.2394 - val_acc: 1.0000
Epoch 79/1000
4/4 [==============================] - 0s - loss: 0.5338 - acc: 0.7500 - val_loss: 0.4979 - val_acc: 0.5000
Epoch 80/1000
4/4 [==============================] - 0s - loss: 0.5324 - acc: 0.7500 - val_loss: 0.2383 - val_acc: 1.0000
Epoch 81/1000
4/4 [==============================] - 0s - loss: 0.5835 - acc: 0.5000 - val_loss: 0.1984 - val_acc: 1.0000
Epoch 82/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1876 - val_acc: 1.0000
Epoch 83/1000
4/4 [==============================] - 0s - loss: 0.5373 - acc: 0.7500 - val_loss: 0.4662 - val_acc: 0.5000
Epoch 84/1000
4/4 [==============================] - 0s - loss: 0.5747 - acc: 0.5000 - val_loss: 0.5649 - val_acc: 0.5000
Epoch 85/1000
4/4 [==============================] - 0s - loss: 0.5980 - acc: 0.5000 - val_loss: 0.5907 - val_acc: 0.5000
Epoch 86/1000
4/4 [==============================] - 0s - loss: 0.5356 - acc: 0.7500 - val_loss: 0.2556 - val_acc: 1.0000
Epoch 87/1000
4/4 [==============================] - 0s - loss: 0.5753 - acc: 0.5000 - val_loss: 0.2012 - val_acc: 1.0000
Epoch 88/1000
4/4 [==============================] - 0s - loss: 0.5338 - acc: 0.7500 - val_loss: 0.4775 - val_acc: 0.5000
Epoch 89/1000
4/4 [==============================] - 0s - loss: 0.5744 - acc: 0.5000 - val_loss: 0.5730 - val_acc: 0.5000
Epoch 90/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.5912 - val_acc: 0.5000
Epoch 91/1000
4/4 [==============================] - 0s - loss: 0.6045 - acc: 0.5000 - val_loss: 0.5960 - val_acc: 0.5000
Epoch 92/1000
4/4 [==============================] - 0s - loss: 0.5358 - acc: 0.7500 - val_loss: 0.2560 - val_acc: 1.0000
Epoch 93/1000
4/4 [==============================] - 0s - loss: 0.5332 - acc: 0.7500 - val_loss: 0.5041 - val_acc: 0.5000
Epoch 94/1000
4/4 [==============================] - 0s - loss: 0.5316 - acc: 0.7500 - val_loss: 0.2392 - val_acc: 1.0000
Epoch 95/1000
4/4 [==============================] - 0s - loss: 0.5796 - acc: 0.5000 - val_loss: 0.1966 - val_acc: 1.0000
Epoch 96/1000
4/4 [==============================] - 0s - loss: 0.5336 - acc: 0.7500 - val_loss: 0.4722 - val_acc: 0.5000
Epoch 97/1000
4/4 [==============================] - 0s - loss: 0.5733 - acc: 0.5000 - val_loss: 0.5710 - val_acc: 0.5000
Epoch 98/1000
4/4 [==============================] - 0s - loss: 0.5330 - acc: 0.7500 - val_loss: 0.2509 - val_acc: 1.0000
Epoch 99/1000
4/4 [==============================] - 0s - loss: 0.5333 - acc: 0.7500 - val_loss: 0.4982 - val_acc: 0.5000
Epoch 100/1000
4/4 [==============================] - 0s - loss: 0.5804 - acc: 0.5000 - val_loss: 0.5730 - val_acc: 0.5000
Epoch 101/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.5961 - val_acc: 0.5000
Epoch 102/1000
4/4 [==============================] - 0s - loss: 0.5347 - acc: 0.7500 - val_loss: 0.2553 - val_acc: 1.0000
Epoch 103/1000
4/4 [==============================] - 0s - loss: 0.5320 - acc: 0.7500 - val_loss: 0.5038 - val_acc: 0.5000
Epoch 104/1000
4/4 [==============================] - 0s - loss: 0.5320 - acc: 0.7500 - val_loss: 0.2396 - val_acc: 1.0000
Epoch 105/1000
4/4 [==============================] - 0s - loss: 0.5770 - acc: 0.5000 - val_loss: 0.1954 - val_acc: 1.0000
Epoch 106/1000
4/4 [==============================] - 0s - loss: 0.5975 - acc: 0.5000 - val_loss: 0.1861 - val_acc: 1.0000
Epoch 107/1000
4/4 [==============================] - 0s - loss: 0.5330 - acc: 0.7500 - val_loss: 0.4687 - val_acc: 0.5000
Epoch 108/1000
4/4 [==============================] - 0s - loss: 0.5714 - acc: 0.5000 - val_loss: 0.5691 - val_acc: 0.5000
Epoch 109/1000
4/4 [==============================] - 0s - loss: 0.5969 - acc: 0.5000 - val_loss: 0.5918 - val_acc: 0.5000
Epoch 110/1000
4/4 [==============================] - 0s - loss: 0.6018 - acc: 0.5000 - val_loss: 0.5998 - val_acc: 0.5000
Epoch 111/1000
4/4 [==============================] - 0s - loss: 0.6044 - acc: 0.5000 - val_loss: 0.5994 - val_acc: 0.5000
Epoch 112/1000
4/4 [==============================] - 0s - loss: 0.6035 - acc: 0.5000 - val_loss: 0.6016 - val_acc: 0.5000
Epoch 113/1000
4/4 [==============================] - 0s - loss: 0.6040 - acc: 0.5000 - val_loss: 0.6022 - val_acc: 0.5000
Epoch 114/1000
4/4 [==============================] - 0s - loss: 0.6050 - acc: 0.5000 - val_loss: 0.5995 - val_acc: 0.5000
Epoch 115/1000
4/4 [==============================] - 0s - loss: 0.5323 - acc: 0.7500 - val_loss: 0.2547 - val_acc: 1.0000
Epoch 116/1000
4/4 [==============================] - 0s - loss: 0.5312 - acc: 0.7500 - val_loss: 0.5031 - val_acc: 0.5000
Epoch 117/1000
4/4 [==============================] - 0s - loss: 0.5786 - acc: 0.5000 - val_loss: 0.5785 - val_acc: 0.5000
Epoch 118/1000
4/4 [==============================] - 0s - loss: 0.5983 - acc: 0.5000 - val_loss: 0.5945 - val_acc: 0.5000
Epoch 119/1000
4/4 [==============================] - 0s - loss: 0.6019 - acc: 0.5000 - val_loss: 0.6003 - val_acc: 0.5000
Epoch 120/1000
4/4 [==============================] - 0s - loss: 0.6032 - acc: 0.5000 - val_loss: 0.6023 - val_acc: 0.5000
Epoch 121/1000
4/4 [==============================] - 0s - loss: 0.6037 - acc: 0.5000 - val_loss: 0.6027 - val_acc: 0.5000
Epoch 122/1000
4/4 [==============================] - 0s - loss: 0.6038 - acc: 0.5000 - val_loss: 0.6027 - val_acc: 0.5000
Epoch 123/1000
4/4 [==============================] - 0s - loss: 0.5335 - acc: 0.7500 - val_loss: 0.2558 - val_acc: 1.0000
Epoch 124/1000
4/4 [==============================] - 0s - loss: 0.5300 - acc: 0.7500 - val_loss: 0.5041 - val_acc: 0.5000
Epoch 125/1000
4/4 [==============================] - 0s - loss: 0.5790 - acc: 0.5000 - val_loss: 0.5776 - val_acc: 0.5000
Epoch 126/1000
4/4 [==============================] - 0s - loss: 0.5317 - acc: 0.7500 - val_loss: 0.2512 - val_acc: 1.0000
Epoch 127/1000
4/4 [==============================] - 0s - loss: 0.5301 - acc: 0.7500 - val_loss: 0.5017 - val_acc: 0.5000
Epoch 128/1000
4/4 [==============================] - 0s - loss: 0.5782 - acc: 0.5000 - val_loss: 0.5775 - val_acc: 0.5000
Epoch 129/1000
4/4 [==============================] - 0s - loss: 0.5308 - acc: 0.7500 - val_loss: 0.2505 - val_acc: 1.0000
Epoch 130/1000
4/4 [==============================] - 0s - loss: 0.5719 - acc: 0.5000 - val_loss: 0.1975 - val_acc: 1.0000
Epoch 131/1000
4/4 [==============================] - 0s - loss: 0.5310 - acc: 0.7500 - val_loss: 0.4731 - val_acc: 0.5000
Epoch 132/1000
4/4 [==============================] - 0s - loss: 0.5300 - acc: 0.7500 - val_loss: 0.2335 - val_acc: 1.0000
Epoch 133/1000
4/4 [==============================] - 0s - loss: 0.5772 - acc: 0.5000 - val_loss: 0.1934 - val_acc: 1.0000
Epoch 134/1000
4/4 [==============================] - 0s - loss: 0.5306 - acc: 0.7500 - val_loss: 0.4726 - val_acc: 0.5000
Epoch 135/1000
4/4 [==============================] - 0s - loss: 0.5713 - acc: 0.5000 - val_loss: 0.5677 - val_acc: 0.5000
Epoch 136/1000
4/4 [==============================] - 0s - loss: 0.5307 - acc: 0.7500 - val_loss: 0.2492 - val_acc: 1.0000
Epoch 137/1000
4/4 [==============================] - 0s - loss: 0.5300 - acc: 0.7500 - val_loss: 0.4990 - val_acc: 0.5000
Epoch 138/1000
4/4 [==============================] - 0s - loss: 0.5768 - acc: 0.5000 - val_loss: 0.5767 - val_acc: 0.5000
Epoch 139/1000
4/4 [==============================] - 0s - loss: 0.5969 - acc: 0.5000 - val_loss: 0.5953 - val_acc: 0.5000
Epoch 140/1000
4/4 [==============================] - 0s - loss: 0.6012 - acc: 0.5000 - val_loss: 0.5999 - val_acc: 0.5000
Epoch 141/1000
4/4 [==============================] - 0s - loss: 0.6030 - acc: 0.5000 - val_loss: 0.5988 - val_acc: 0.5000
Epoch 142/1000
4/4 [==============================] - 0s - loss: 0.5312 - acc: 0.7500 - val_loss: 0.2539 - val_acc: 1.0000
Epoch 143/1000
4/4 [==============================] - 0s - loss: 0.5693 - acc: 0.5000 - val_loss: 0.1974 - val_acc: 1.0000
Epoch 144/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.4752 - val_acc: 0.5000
Epoch 145/1000
4/4 [==============================] - 0s - loss: 0.5293 - acc: 0.7500 - val_loss: 0.2332 - val_acc: 1.0000
Epoch 146/1000
4/4 [==============================] - 0s - loss: 0.5290 - acc: 0.7500 - val_loss: 0.4929 - val_acc: 0.5000
Epoch 147/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.2357 - val_acc: 1.0000
Epoch 148/1000
4/4 [==============================] - 0s - loss: 0.5764 - acc: 0.5000 - val_loss: 0.1939 - val_acc: 1.0000
Epoch 149/1000
4/4 [==============================] - 0s - loss: 0.5309 - acc: 0.7500 - val_loss: 0.4708 - val_acc: 0.5000
Epoch 150/1000
4/4 [==============================] - 0s - loss: 0.5703 - acc: 0.5000 - val_loss: 0.5675 - val_acc: 0.5000
Epoch 151/1000
4/4 [==============================] - 0s - loss: 0.5942 - acc: 0.5000 - val_loss: 0.5929 - val_acc: 0.5000
Epoch 152/1000
4/4 [==============================] - 0s - loss: 0.6003 - acc: 0.5000 - val_loss: 0.5995 - val_acc: 0.5000
Epoch 153/1000
4/4 [==============================] - 0s - loss: 0.6019 - acc: 0.5000 - val_loss: 0.6007 - val_acc: 0.5000
Epoch 154/1000
4/4 [==============================] - 0s - loss: 0.6025 - acc: 0.5000 - val_loss: 0.5995 - val_acc: 0.5000
Epoch 155/1000
4/4 [==============================] - 0s - loss: 0.5319 - acc: 0.7500 - val_loss: 0.2545 - val_acc: 1.0000
Epoch 156/1000
4/4 [==============================] - 0s - loss: 0.5291 - acc: 0.7500 - val_loss: 0.5029 - val_acc: 0.5000
Epoch 157/1000
4/4 [==============================] - 0s - loss: 0.5277 - acc: 0.7500 - val_loss: 0.2372 - val_acc: 1.0000
Epoch 158/1000
4/4 [==============================] - 0s - loss: 0.5755 - acc: 0.5000 - val_loss: 0.1944 - val_acc: 1.0000
Epoch 159/1000
4/4 [==============================] - 0s - loss: 0.5955 - acc: 0.5000 - val_loss: 0.1849 - val_acc: 1.0000
Epoch 160/1000
4/4 [==============================] - 0s - loss: 0.5312 - acc: 0.7500 - val_loss: 0.4668 - val_acc: 0.5000
Epoch 161/1000
4/4 [==============================] - 0s - loss: 0.5689 - acc: 0.5000 - val_loss: 0.5680 - val_acc: 0.5000
Epoch 162/1000
4/4 [==============================] - 0s - loss: 0.5941 - acc: 0.5000 - val_loss: 0.5928 - val_acc: 0.5000
Epoch 163/1000
4/4 [==============================] - 0s - loss: 0.6000 - acc: 0.5000 - val_loss: 0.5993 - val_acc: 0.5000
Epoch 164/1000
4/4 [==============================] - 0s - loss: 0.6016 - acc: 0.5000 - val_loss: 0.6008 - val_acc: 0.5000
Epoch 165/1000
4/4 [==============================] - 0s - loss: 0.6020 - acc: 0.5000 - val_loss: 0.6012 - val_acc: 0.5000
Epoch 166/1000
4/4 [==============================] - 0s - loss: 0.6021 - acc: 0.5000 - val_loss: 0.6012 - val_acc: 0.5000
Epoch 167/1000
4/4 [==============================] - 0s - loss: 0.5315 - acc: 0.7500 - val_loss: 0.2546 - val_acc: 1.0000
Epoch 168/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.5028 - val_acc: 0.5000
Epoch 169/1000
4/4 [==============================] - 0s - loss: 0.5772 - acc: 0.5000 - val_loss: 0.5770 - val_acc: 0.5000
Epoch 170/1000
4/4 [==============================] - 0s - loss: 0.5962 - acc: 0.5000 - val_loss: 0.5948 - val_acc: 0.5000
Epoch 171/1000
4/4 [==============================] - 0s - loss: 0.5308 - acc: 0.7500 - val_loss: 0.2530 - val_acc: 1.0000
Epoch 172/1000
4/4 [==============================] - 0s - loss: 0.5692 - acc: 0.5000 - val_loss: 0.1975 - val_acc: 1.0000
Epoch 173/1000
4/4 [==============================] - 0s - loss: 0.5937 - acc: 0.5000 - val_loss: 0.1860 - val_acc: 1.0000
Epoch 174/1000
4/4 [==============================] - 0s - loss: 0.5303 - acc: 0.7500 - val_loss: 0.4677 - val_acc: 0.5000
Epoch 175/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.2311 - val_acc: 1.0000
Epoch 176/1000
4/4 [==============================] - 0s - loss: 0.5774 - acc: 0.5000 - val_loss: 0.1928 - val_acc: 1.0000
Epoch 177/1000
4/4 [==============================] - 0s - loss: 0.5954 - acc: 0.5000 - val_loss: 0.1845 - val_acc: 1.0000
Epoch 178/1000
4/4 [==============================] - 0s - loss: 0.5305 - acc: 0.7500 - val_loss: 0.4668 - val_acc: 0.5000
Epoch 179/1000
4/4 [==============================] - 0s - loss: 0.5688 - acc: 0.5000 - val_loss: 0.5661 - val_acc: 0.5000
Epoch 180/1000
4/4 [==============================] - 0s - loss: 0.5283 - acc: 0.7500 - val_loss: 0.2474 - val_acc: 1.0000
Epoch 181/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.4982 - val_acc: 0.5000
Epoch 182/1000
4/4 [==============================] - 0s - loss: 0.5760 - acc: 0.5000 - val_loss: 0.5753 - val_acc: 0.5000
Epoch 183/1000
4/4 [==============================] - 0s - loss: 0.5952 - acc: 0.5000 - val_loss: 0.5948 - val_acc: 0.5000
Epoch 184/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.5991 - val_acc: 0.5000
Epoch 185/1000
4/4 [==============================] - 0s - loss: 0.5303 - acc: 0.7500 - val_loss: 0.2534 - val_acc: 1.0000
Epoch 186/1000
4/4 [==============================] - 0s - loss: 0.5681 - acc: 0.5000 - val_loss: 0.1967 - val_acc: 1.0000
Epoch 187/1000
4/4 [==============================] - 0s - loss: 0.5291 - acc: 0.7500 - val_loss: 0.4738 - val_acc: 0.5000
Epoch 188/1000
4/4 [==============================] - 0s - loss: 0.5699 - acc: 0.5000 - val_loss: 0.5694 - val_acc: 0.5000
Epoch 189/1000
4/4 [==============================] - 0s - loss: 0.5938 - acc: 0.5000 - val_loss: 0.5933 - val_acc: 0.5000
Epoch 190/1000
4/4 [==============================] - 0s - loss: 0.5298 - acc: 0.7500 - val_loss: 0.2523 - val_acc: 1.0000
Epoch 191/1000
4/4 [==============================] - 0s - loss: 0.5683 - acc: 0.5000 - val_loss: 0.1967 - val_acc: 1.0000
Epoch 192/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.1850 - val_acc: 1.0000
Epoch 193/1000
4/4 [==============================] - 0s - loss: 0.5300 - acc: 0.7500 - val_loss: 0.4672 - val_acc: 0.5000
Epoch 194/1000
4/4 [==============================] - 0s - loss: 0.5289 - acc: 0.7500 - val_loss: 0.2319 - val_acc: 1.0000
Epoch 195/1000
4/4 [==============================] - 0s - loss: 0.5766 - acc: 0.5000 - val_loss: 0.1928 - val_acc: 1.0000
Epoch 196/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4720 - val_acc: 0.5000
Epoch 197/1000
4/4 [==============================] - 0s - loss: 0.5696 - acc: 0.5000 - val_loss: 0.5685 - val_acc: 0.5000
Epoch 198/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2478 - val_acc: 1.0000
Epoch 199/1000
4/4 [==============================] - 0s - loss: 0.5701 - acc: 0.5000 - val_loss: 0.1958 - val_acc: 1.0000
Epoch 200/1000
4/4 [==============================] - 0s - loss: 0.5933 - acc: 0.5000 - val_loss: 0.1850 - val_acc: 1.0000
Epoch 201/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1825 - val_acc: 1.0000
Epoch 202/1000
4/4 [==============================] - 0s - loss: 0.6008 - acc: 0.5000 - val_loss: 0.1816 - val_acc: 1.0000
Epoch 203/1000
4/4 [==============================] - 0s - loss: 0.6009 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 204/1000
4/4 [==============================] - 0s - loss: 0.5308 - acc: 0.7500 - val_loss: 0.4644 - val_acc: 0.5000
Epoch 205/1000
4/4 [==============================] - 0s - loss: 0.5672 - acc: 0.5000 - val_loss: 0.5670 - val_acc: 0.5000
Epoch 206/1000
4/4 [==============================] - 0s - loss: 0.5931 - acc: 0.5000 - val_loss: 0.5912 - val_acc: 0.5000
Epoch 207/1000
4/4 [==============================] - 0s - loss: 0.5303 - acc: 0.7500 - val_loss: 0.2524 - val_acc: 1.0000
Epoch 208/1000
4/4 [==============================] - 0s - loss: 0.5683 - acc: 0.5000 - val_loss: 0.1966 - val_acc: 1.0000
Epoch 209/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4737 - val_acc: 0.5000
Epoch 210/1000
4/4 [==============================] - 0s - loss: 0.5274 - acc: 0.7500 - val_loss: 0.2320 - val_acc: 1.0000
Epoch 211/1000
4/4 [==============================] - 0s - loss: 0.5759 - acc: 0.5000 - val_loss: 0.1924 - val_acc: 1.0000
Epoch 212/1000
4/4 [==============================] - 0s - loss: 0.5949 - acc: 0.5000 - val_loss: 0.1842 - val_acc: 1.0000
Epoch 213/1000
4/4 [==============================] - 0s - loss: 0.5303 - acc: 0.7500 - val_loss: 0.4661 - val_acc: 0.5000
Epoch 214/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2312 - val_acc: 1.0000
Epoch 215/1000
4/4 [==============================] - 0s - loss: 0.5767 - acc: 0.5000 - val_loss: 0.1927 - val_acc: 1.0000
Epoch 216/1000
4/4 [==============================] - 0s - loss: 0.5948 - acc: 0.5000 - val_loss: 0.1839 - val_acc: 1.0000
Epoch 217/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.1818 - val_acc: 1.0000
Epoch 218/1000
4/4 [==============================] - 0s - loss: 0.6006 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 219/1000
4/4 [==============================] - 0s - loss: 0.5302 - acc: 0.7500 - val_loss: 0.4648 - val_acc: 0.5000
Epoch 220/1000
4/4 [==============================] - 0s - loss: 0.5277 - acc: 0.7500 - val_loss: 0.2305 - val_acc: 1.0000
Epoch 221/1000
4/4 [==============================] - 0s - loss: 0.5763 - acc: 0.5000 - val_loss: 0.1920 - val_acc: 1.0000
Epoch 222/1000
4/4 [==============================] - 0s - loss: 0.5951 - acc: 0.5000 - val_loss: 0.1840 - val_acc: 1.0000
Epoch 223/1000
4/4 [==============================] - 0s - loss: 0.5299 - acc: 0.7500 - val_loss: 0.4663 - val_acc: 0.5000
Epoch 224/1000
4/4 [==============================] - 0s - loss: 0.5679 - acc: 0.5000 - val_loss: 0.5662 - val_acc: 0.5000
Epoch 225/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.5910 - val_acc: 0.5000
Epoch 226/1000
4/4 [==============================] - 0s - loss: 0.5293 - acc: 0.7500 - val_loss: 0.2517 - val_acc: 1.0000
Epoch 227/1000
4/4 [==============================] - 0s - loss: 0.5682 - acc: 0.5000 - val_loss: 0.1964 - val_acc: 1.0000
Epoch 228/1000
4/4 [==============================] - 0s - loss: 0.5283 - acc: 0.7500 - val_loss: 0.4737 - val_acc: 0.5000
Epoch 229/1000
4/4 [==============================] - 0s - loss: 0.5694 - acc: 0.5000 - val_loss: 0.5691 - val_acc: 0.5000
Epoch 230/1000
4/4 [==============================] - 0s - loss: 0.5929 - acc: 0.5000 - val_loss: 0.5929 - val_acc: 0.5000
Epoch 231/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.5987 - val_acc: 0.5000
Epoch 232/1000
4/4 [==============================] - 0s - loss: 0.5302 - acc: 0.7500 - val_loss: 0.2536 - val_acc: 1.0000
Epoch 233/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.5010 - val_acc: 0.5000
Epoch 234/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.2365 - val_acc: 1.0000
Epoch 235/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4944 - val_acc: 0.5000
Epoch 236/1000
4/4 [==============================] - 0s - loss: 0.5746 - acc: 0.5000 - val_loss: 0.5733 - val_acc: 0.5000
Epoch 237/1000
4/4 [==============================] - 0s - loss: 0.5943 - acc: 0.5000 - val_loss: 0.5928 - val_acc: 0.5000
Epoch 238/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.5976 - val_acc: 0.5000
Epoch 239/1000
4/4 [==============================] - 0s - loss: 0.5999 - acc: 0.5000 - val_loss: 0.5998 - val_acc: 0.5000
Epoch 240/1000
4/4 [==============================] - 0s - loss: 0.6008 - acc: 0.5000 - val_loss: 0.5993 - val_acc: 0.5000
Epoch 241/1000
4/4 [==============================] - 0s - loss: 0.6005 - acc: 0.5000 - val_loss: 0.6002 - val_acc: 0.5000
Epoch 242/1000
4/4 [==============================] - 0s - loss: 0.5299 - acc: 0.7500 - val_loss: 0.2536 - val_acc: 1.0000
Epoch 243/1000
4/4 [==============================] - 0s - loss: 0.5669 - acc: 0.5000 - val_loss: 0.1964 - val_acc: 1.0000
Epoch 244/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.1849 - val_acc: 1.0000
Epoch 245/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.1824 - val_acc: 1.0000
Epoch 246/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.1814 - val_acc: 1.0000
Epoch 247/1000
4/4 [==============================] - 0s - loss: 0.5303 - acc: 0.7500 - val_loss: 0.4638 - val_acc: 0.5000
Epoch 248/1000
4/4 [==============================] - 0s - loss: 0.5668 - acc: 0.5000 - val_loss: 0.5665 - val_acc: 0.5000
Epoch 249/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.2477 - val_acc: 1.0000
Epoch 250/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.4994 - val_acc: 0.5000
Epoch 251/1000
4/4 [==============================] - 0s - loss: 0.5263 - acc: 0.7500 - val_loss: 0.2359 - val_acc: 1.0000
Epoch 252/1000
4/4 [==============================] - 0s - loss: 0.5741 - acc: 0.5000 - val_loss: 0.1934 - val_acc: 1.0000
Epoch 253/1000
4/4 [==============================] - 0s - loss: 0.5938 - acc: 0.5000 - val_loss: 0.1839 - val_acc: 1.0000
Epoch 254/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.1819 - val_acc: 1.0000
Epoch 255/1000
4/4 [==============================] - 0s - loss: 0.5298 - acc: 0.7500 - val_loss: 0.4649 - val_acc: 0.5000
Epoch 256/1000
4/4 [==============================] - 0s - loss: 0.5276 - acc: 0.7500 - val_loss: 0.2304 - val_acc: 1.0000
Epoch 257/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.4907 - val_acc: 0.5000
Epoch 258/1000
4/4 [==============================] - 0s - loss: 0.5734 - acc: 0.5000 - val_loss: 0.5723 - val_acc: 0.5000
Epoch 259/1000
4/4 [==============================] - 0s - loss: 0.5937 - acc: 0.5000 - val_loss: 0.5925 - val_acc: 0.5000
Epoch 260/1000
4/4 [==============================] - 0s - loss: 0.5297 - acc: 0.7500 - val_loss: 0.2522 - val_acc: 1.0000
Epoch 261/1000
4/4 [==============================] - 0s - loss: 0.5675 - acc: 0.5000 - val_loss: 0.1962 - val_acc: 1.0000
Epoch 262/1000
4/4 [==============================] - 0s - loss: 0.5920 - acc: 0.5000 - val_loss: 0.1845 - val_acc: 1.0000
Epoch 263/1000
4/4 [==============================] - 0s - loss: 0.5986 - acc: 0.5000 - val_loss: 0.1818 - val_acc: 1.0000
Epoch 264/1000
4/4 [==============================] - 0s - loss: 0.6000 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 265/1000
4/4 [==============================] - 0s - loss: 0.5298 - acc: 0.7500 - val_loss: 0.4644 - val_acc: 0.5000
Epoch 266/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.2302 - val_acc: 1.0000
Epoch 267/1000
4/4 [==============================] - 0s - loss: 0.5759 - acc: 0.5000 - val_loss: 0.1918 - val_acc: 1.0000
Epoch 268/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.4710 - val_acc: 0.5000
Epoch 269/1000
4/4 [==============================] - 0s - loss: 0.5685 - acc: 0.5000 - val_loss: 0.5674 - val_acc: 0.5000
Epoch 270/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.5913 - val_acc: 0.5000
Epoch 271/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.2520 - val_acc: 1.0000
Epoch 272/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.5011 - val_acc: 0.5000
Epoch 273/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.2363 - val_acc: 1.0000
Epoch 274/1000
4/4 [==============================] - 0s - loss: 0.5736 - acc: 0.5000 - val_loss: 0.1931 - val_acc: 1.0000
Epoch 275/1000
4/4 [==============================] - 0s - loss: 0.5938 - acc: 0.5000 - val_loss: 0.1840 - val_acc: 1.0000
Epoch 276/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.1818 - val_acc: 1.0000
Epoch 277/1000
4/4 [==============================] - 0s - loss: 0.5300 - acc: 0.7500 - val_loss: 0.4639 - val_acc: 0.5000
Epoch 278/1000
4/4 [==============================] - 0s - loss: 0.5670 - acc: 0.5000 - val_loss: 0.5653 - val_acc: 0.5000
Epoch 279/1000
4/4 [==============================] - 0s - loss: 0.5274 - acc: 0.7500 - val_loss: 0.2469 - val_acc: 1.0000
Epoch 280/1000
4/4 [==============================] - 0s - loss: 0.5692 - acc: 0.5000 - val_loss: 0.1950 - val_acc: 1.0000
Epoch 281/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.1842 - val_acc: 1.0000
Epoch 282/1000
4/4 [==============================] - 0s - loss: 0.5984 - acc: 0.5000 - val_loss: 0.1817 - val_acc: 1.0000
Epoch 283/1000
4/4 [==============================] - 0s - loss: 0.5298 - acc: 0.7500 - val_loss: 0.4645 - val_acc: 0.5000
Epoch 284/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.2302 - val_acc: 1.0000
Epoch 285/1000
4/4 [==============================] - 0s - loss: 0.5757 - acc: 0.5000 - val_loss: 0.1917 - val_acc: 1.0000
Epoch 286/1000
4/4 [==============================] - 0s - loss: 0.5942 - acc: 0.5000 - val_loss: 0.1834 - val_acc: 1.0000
Epoch 287/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.4652 - val_acc: 0.5000
Epoch 288/1000
4/4 [==============================] - 0s - loss: 0.5670 - acc: 0.5000 - val_loss: 0.5666 - val_acc: 0.5000
Epoch 289/1000
4/4 [==============================] - 0s - loss: 0.5280 - acc: 0.7500 - val_loss: 0.2477 - val_acc: 1.0000
Epoch 290/1000
4/4 [==============================] - 0s - loss: 0.5690 - acc: 0.5000 - val_loss: 0.1953 - val_acc: 1.0000
Epoch 291/1000
4/4 [==============================] - 0s - loss: 0.5276 - acc: 0.7500 - val_loss: 0.4732 - val_acc: 0.5000
Epoch 292/1000
4/4 [==============================] - 0s - loss: 0.5690 - acc: 0.5000 - val_loss: 0.5684 - val_acc: 0.5000
Epoch 293/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.5916 - val_acc: 0.5000
Epoch 294/1000
4/4 [==============================] - 0s - loss: 0.5981 - acc: 0.5000 - val_loss: 0.5980 - val_acc: 0.5000
Epoch 295/1000
4/4 [==============================] - 0s - loss: 0.6000 - acc: 0.5000 - val_loss: 0.5988 - val_acc: 0.5000
Epoch 296/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.5990 - val_acc: 0.5000
Epoch 297/1000
4/4 [==============================] - 0s - loss: 0.5299 - acc: 0.7500 - val_loss: 0.2533 - val_acc: 1.0000
Epoch 298/1000
4/4 [==============================] - 0s - loss: 0.5275 - acc: 0.7500 - val_loss: 0.5013 - val_acc: 0.5000
Epoch 299/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.2363 - val_acc: 1.0000
Epoch 300/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4940 - val_acc: 0.5000
Epoch 301/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.2349 - val_acc: 1.0000
Epoch 302/1000
4/4 [==============================] - 0s - loss: 0.5264 - acc: 0.7500 - val_loss: 0.4933 - val_acc: 0.5000
Epoch 303/1000
4/4 [==============================] - 0s - loss: 0.5737 - acc: 0.5000 - val_loss: 0.5730 - val_acc: 0.5000
Epoch 304/1000
4/4 [==============================] - 0s - loss: 0.5936 - acc: 0.5000 - val_loss: 0.5927 - val_acc: 0.5000
Epoch 305/1000
4/4 [==============================] - 0s - loss: 0.5984 - acc: 0.5000 - val_loss: 0.5982 - val_acc: 0.5000
Epoch 306/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.5987 - val_acc: 0.5000
Epoch 307/1000
4/4 [==============================] - 0s - loss: 0.5999 - acc: 0.5000 - val_loss: 0.5997 - val_acc: 0.5000
Epoch 308/1000
4/4 [==============================] - 0s - loss: 0.6001 - acc: 0.5000 - val_loss: 0.6000 - val_acc: 0.5000
Epoch 309/1000
4/4 [==============================] - 0s - loss: 0.5297 - acc: 0.7500 - val_loss: 0.2533 - val_acc: 1.0000
Epoch 310/1000
4/4 [==============================] - 0s - loss: 0.5272 - acc: 0.7500 - val_loss: 0.5015 - val_acc: 0.5000
Epoch 311/1000
4/4 [==============================] - 0s - loss: 0.5264 - acc: 0.7500 - val_loss: 0.2364 - val_acc: 1.0000
Epoch 312/1000
4/4 [==============================] - 0s - loss: 0.5729 - acc: 0.5000 - val_loss: 0.1928 - val_acc: 1.0000
Epoch 313/1000
4/4 [==============================] - 0s - loss: 0.5936 - acc: 0.5000 - val_loss: 0.1838 - val_acc: 1.0000
Epoch 314/1000
4/4 [==============================] - 0s - loss: 0.5290 - acc: 0.7500 - val_loss: 0.4661 - val_acc: 0.5000
Epoch 315/1000
4/4 [==============================] - 0s - loss: 0.5669 - acc: 0.5000 - val_loss: 0.5668 - val_acc: 0.5000
Epoch 316/1000
4/4 [==============================] - 0s - loss: 0.5278 - acc: 0.7500 - val_loss: 0.2476 - val_acc: 1.0000
Epoch 317/1000
4/4 [==============================] - 0s - loss: 0.5688 - acc: 0.5000 - val_loss: 0.1953 - val_acc: 1.0000
Epoch 318/1000
4/4 [==============================] - 0s - loss: 0.5923 - acc: 0.5000 - val_loss: 0.1845 - val_acc: 1.0000
Epoch 319/1000
4/4 [==============================] - 0s - loss: 0.5981 - acc: 0.5000 - val_loss: 0.1818 - val_acc: 1.0000
Epoch 320/1000
4/4 [==============================] - 0s - loss: 0.5296 - acc: 0.7500 - val_loss: 0.4645 - val_acc: 0.5000
Epoch 321/1000
4/4 [==============================] - 0s - loss: 0.5666 - acc: 0.5000 - val_loss: 0.5663 - val_acc: 0.5000
Epoch 322/1000
4/4 [==============================] - 0s - loss: 0.5916 - acc: 0.5000 - val_loss: 0.5917 - val_acc: 0.5000
Epoch 323/1000
4/4 [==============================] - 0s - loss: 0.5983 - acc: 0.5000 - val_loss: 0.5972 - val_acc: 0.5000
Epoch 324/1000
4/4 [==============================] - 0s - loss: 0.5997 - acc: 0.5000 - val_loss: 0.5986 - val_acc: 0.5000
Epoch 325/1000
4/4 [==============================] - 0s - loss: 0.5999 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 326/1000
4/4 [==============================] - 0s - loss: 0.5999 - acc: 0.5000 - val_loss: 0.5995 - val_acc: 0.5000
Epoch 327/1000
4/4 [==============================] - 0s - loss: 0.6003 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 328/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.2532 - val_acc: 1.0000
Epoch 329/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.5008 - val_acc: 0.5000
Epoch 330/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2360 - val_acc: 1.0000
Epoch 331/1000
4/4 [==============================] - 0s - loss: 0.5732 - acc: 0.5000 - val_loss: 0.1929 - val_acc: 1.0000
Epoch 332/1000
4/4 [==============================] - 0s - loss: 0.5934 - acc: 0.5000 - val_loss: 0.1837 - val_acc: 1.0000
Epoch 333/1000
4/4 [==============================] - 0s - loss: 0.5982 - acc: 0.5000 - val_loss: 0.1814 - val_acc: 1.0000
Epoch 334/1000
4/4 [==============================] - 0s - loss: 0.5997 - acc: 0.5000 - val_loss: 0.1809 - val_acc: 1.0000
Epoch 335/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.4641 - val_acc: 0.5000
Epoch 336/1000
4/4 [==============================] - 0s - loss: 0.5664 - acc: 0.5000 - val_loss: 0.5662 - val_acc: 0.5000
Epoch 337/1000
4/4 [==============================] - 0s - loss: 0.5918 - acc: 0.5000 - val_loss: 0.5908 - val_acc: 0.5000
Epoch 338/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 339/1000
4/4 [==============================] - 0s - loss: 0.5669 - acc: 0.5000 - val_loss: 0.1958 - val_acc: 1.0000
Epoch 340/1000
4/4 [==============================] - 0s - loss: 0.5916 - acc: 0.5000 - val_loss: 0.1842 - val_acc: 1.0000
Epoch 341/1000
4/4 [==============================] - 0s - loss: 0.5981 - acc: 0.5000 - val_loss: 0.1817 - val_acc: 1.0000
Epoch 342/1000
4/4 [==============================] - 0s - loss: 0.5292 - acc: 0.7500 - val_loss: 0.4646 - val_acc: 0.5000
Epoch 343/1000
4/4 [==============================] - 0s - loss: 0.5666 - acc: 0.5000 - val_loss: 0.5657 - val_acc: 0.5000
Epoch 344/1000
4/4 [==============================] - 0s - loss: 0.5274 - acc: 0.7500 - val_loss: 0.2470 - val_acc: 1.0000
Epoch 345/1000
4/4 [==============================] - 0s - loss: 0.5687 - acc: 0.5000 - val_loss: 0.1950 - val_acc: 1.0000
Epoch 346/1000
4/4 [==============================] - 0s - loss: 0.5921 - acc: 0.5000 - val_loss: 0.1842 - val_acc: 1.0000
Epoch 347/1000
4/4 [==============================] - 0s - loss: 0.5980 - acc: 0.5000 - val_loss: 0.1815 - val_acc: 1.0000
Epoch 348/1000
4/4 [==============================] - 0s - loss: 0.5998 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 349/1000
4/4 [==============================] - 0s - loss: 0.5293 - acc: 0.7500 - val_loss: 0.4643 - val_acc: 0.5000
Epoch 350/1000
4/4 [==============================] - 0s - loss: 0.5665 - acc: 0.5000 - val_loss: 0.5656 - val_acc: 0.5000
Epoch 351/1000
4/4 [==============================] - 0s - loss: 0.5915 - acc: 0.5000 - val_loss: 0.5914 - val_acc: 0.5000
Epoch 352/1000
4/4 [==============================] - 0s - loss: 0.5979 - acc: 0.5000 - val_loss: 0.5976 - val_acc: 0.5000
Epoch 353/1000
4/4 [==============================] - 0s - loss: 0.5295 - acc: 0.7500 - val_loss: 0.2528 - val_acc: 1.0000
Epoch 354/1000
4/4 [==============================] - 0s - loss: 0.5665 - acc: 0.5000 - val_loss: 0.1960 - val_acc: 1.0000
Epoch 355/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.4733 - val_acc: 0.5000
Epoch 356/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2315 - val_acc: 1.0000
Epoch 357/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.4913 - val_acc: 0.5000
Epoch 358/1000
4/4 [==============================] - 0s - loss: 0.5729 - acc: 0.5000 - val_loss: 0.5730 - val_acc: 0.5000
Epoch 359/1000
4/4 [==============================] - 0s - loss: 0.5935 - acc: 0.5000 - val_loss: 0.5924 - val_acc: 0.5000
Epoch 360/1000
4/4 [==============================] - 0s - loss: 0.5291 - acc: 0.7500 - val_loss: 0.2520 - val_acc: 1.0000
Epoch 361/1000
4/4 [==============================] - 0s - loss: 0.5668 - acc: 0.5000 - val_loss: 0.1958 - val_acc: 1.0000
Epoch 362/1000
4/4 [==============================] - 0s - loss: 0.5272 - acc: 0.7500 - val_loss: 0.4733 - val_acc: 0.5000
Epoch 363/1000
4/4 [==============================] - 0s - loss: 0.5684 - acc: 0.5000 - val_loss: 0.5685 - val_acc: 0.5000
Epoch 364/1000
4/4 [==============================] - 0s - loss: 0.5275 - acc: 0.7500 - val_loss: 0.2475 - val_acc: 1.0000
Epoch 365/1000
4/4 [==============================] - 0s - loss: 0.5683 - acc: 0.5000 - val_loss: 0.1950 - val_acc: 1.0000
Epoch 366/1000
4/4 [==============================] - 0s - loss: 0.5921 - acc: 0.5000 - val_loss: 0.1841 - val_acc: 1.0000
Epoch 367/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4661 - val_acc: 0.5000
Epoch 368/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2303 - val_acc: 1.0000
Epoch 369/1000
4/4 [==============================] - 0s - loss: 0.5751 - acc: 0.5000 - val_loss: 0.1915 - val_acc: 1.0000
Epoch 370/1000
4/4 [==============================] - 0s - loss: 0.5279 - acc: 0.7500 - val_loss: 0.4702 - val_acc: 0.5000
Epoch 371/1000
4/4 [==============================] - 0s - loss: 0.5679 - acc: 0.5000 - val_loss: 0.5669 - val_acc: 0.5000
Epoch 372/1000
4/4 [==============================] - 0s - loss: 0.5917 - acc: 0.5000 - val_loss: 0.5917 - val_acc: 0.5000
Epoch 373/1000
4/4 [==============================] - 0s - loss: 0.5981 - acc: 0.5000 - val_loss: 0.5972 - val_acc: 0.5000
Epoch 374/1000
4/4 [==============================] - 0s - loss: 0.5290 - acc: 0.7500 - val_loss: 0.2525 - val_acc: 1.0000
Epoch 375/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.5010 - val_acc: 0.5000
Epoch 376/1000
4/4 [==============================] - 0s - loss: 0.5754 - acc: 0.5000 - val_loss: 0.5752 - val_acc: 0.5000
Epoch 377/1000
4/4 [==============================] - 0s - loss: 0.5939 - acc: 0.5000 - val_loss: 0.5932 - val_acc: 0.5000
Epoch 378/1000
4/4 [==============================] - 0s - loss: 0.5983 - acc: 0.5000 - val_loss: 0.5980 - val_acc: 0.5000
Epoch 379/1000
4/4 [==============================] - 0s - loss: 0.5290 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 380/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.5006 - val_acc: 0.5000
Epoch 381/1000
4/4 [==============================] - 0s - loss: 0.5752 - acc: 0.5000 - val_loss: 0.5748 - val_acc: 0.5000
Epoch 382/1000
4/4 [==============================] - 0s - loss: 0.5938 - acc: 0.5000 - val_loss: 0.5929 - val_acc: 0.5000
Epoch 383/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2518 - val_acc: 1.0000
Epoch 384/1000
4/4 [==============================] - 0s - loss: 0.5665 - acc: 0.5000 - val_loss: 0.1956 - val_acc: 1.0000
Epoch 385/1000
4/4 [==============================] - 0s - loss: 0.5914 - acc: 0.5000 - val_loss: 0.1841 - val_acc: 1.0000
Epoch 386/1000
4/4 [==============================] - 0s - loss: 0.5978 - acc: 0.5000 - val_loss: 0.1814 - val_acc: 1.0000
Epoch 387/1000
4/4 [==============================] - 0s - loss: 0.5292 - acc: 0.7500 - val_loss: 0.4643 - val_acc: 0.5000
Epoch 388/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2300 - val_acc: 1.0000
Epoch 389/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4906 - val_acc: 0.5000
Epoch 390/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2343 - val_acc: 1.0000
Epoch 391/1000
4/4 [==============================] - 0s - loss: 0.5735 - acc: 0.5000 - val_loss: 0.1924 - val_acc: 1.0000
Epoch 392/1000
4/4 [==============================] - 0s - loss: 0.5933 - acc: 0.5000 - val_loss: 0.1835 - val_acc: 1.0000
Epoch 393/1000
4/4 [==============================] - 0s - loss: 0.5982 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 394/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1807 - val_acc: 1.0000
Epoch 395/1000
4/4 [==============================] - 0s - loss: 0.5293 - acc: 0.7500 - val_loss: 0.4639 - val_acc: 0.5000
Epoch 396/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2300 - val_acc: 1.0000
Epoch 397/1000
4/4 [==============================] - 0s - loss: 0.5751 - acc: 0.5000 - val_loss: 0.1914 - val_acc: 1.0000
Epoch 398/1000
4/4 [==============================] - 0s - loss: 0.5939 - acc: 0.5000 - val_loss: 0.1833 - val_acc: 1.0000
Epoch 399/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4657 - val_acc: 0.5000
Epoch 400/1000
4/4 [==============================] - 0s - loss: 0.5664 - acc: 0.5000 - val_loss: 0.5665 - val_acc: 0.5000
Epoch 401/1000
4/4 [==============================] - 0s - loss: 0.5914 - acc: 0.5000 - val_loss: 0.5915 - val_acc: 0.5000
Epoch 402/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2516 - val_acc: 1.0000
Epoch 403/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.5005 - val_acc: 0.5000
Epoch 404/1000
4/4 [==============================] - 0s - loss: 0.5752 - acc: 0.5000 - val_loss: 0.5746 - val_acc: 0.5000
Epoch 405/1000
4/4 [==============================] - 0s - loss: 0.5278 - acc: 0.7500 - val_loss: 0.2487 - val_acc: 1.0000
Epoch 406/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4994 - val_acc: 0.5000
Epoch 407/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2358 - val_acc: 1.0000
Epoch 408/1000
4/4 [==============================] - 0s - loss: 0.5726 - acc: 0.5000 - val_loss: 0.1925 - val_acc: 1.0000
Epoch 409/1000
4/4 [==============================] - 0s - loss: 0.5276 - acc: 0.7500 - val_loss: 0.4711 - val_acc: 0.5000
Epoch 410/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.2311 - val_acc: 1.0000
Epoch 411/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4915 - val_acc: 0.5000
Epoch 412/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2344 - val_acc: 1.0000
Epoch 413/1000
4/4 [==============================] - 0s - loss: 0.5734 - acc: 0.5000 - val_loss: 0.1924 - val_acc: 1.0000
Epoch 414/1000
4/4 [==============================] - 0s - loss: 0.5274 - acc: 0.7500 - val_loss: 0.4712 - val_acc: 0.5000
Epoch 415/1000
4/4 [==============================] - 0s - loss: 0.5677 - acc: 0.5000 - val_loss: 0.5678 - val_acc: 0.5000
Epoch 416/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2471 - val_acc: 1.0000
Epoch 417/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4985 - val_acc: 0.5000
Epoch 418/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.2354 - val_acc: 1.0000
Epoch 419/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.4934 - val_acc: 0.5000
Epoch 420/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.2348 - val_acc: 1.0000
Epoch 421/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4932 - val_acc: 0.5000
Epoch 422/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2347 - val_acc: 1.0000
Epoch 423/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4930 - val_acc: 0.5000
Epoch 424/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2346 - val_acc: 1.0000
Epoch 425/1000
4/4 [==============================] - 0s - loss: 0.5731 - acc: 0.5000 - val_loss: 0.1923 - val_acc: 1.0000
Epoch 426/1000
4/4 [==============================] - 0s - loss: 0.5933 - acc: 0.5000 - val_loss: 0.1834 - val_acc: 1.0000
Epoch 427/1000
4/4 [==============================] - 0s - loss: 0.5289 - acc: 0.7500 - val_loss: 0.4651 - val_acc: 0.5000
Epoch 428/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2301 - val_acc: 1.0000
Epoch 429/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.4911 - val_acc: 0.5000
Epoch 430/1000
4/4 [==============================] - 0s - loss: 0.5727 - acc: 0.5000 - val_loss: 0.5727 - val_acc: 0.5000
Epoch 431/1000
4/4 [==============================] - 0s - loss: 0.5274 - acc: 0.7500 - val_loss: 0.2481 - val_acc: 1.0000
Epoch 432/1000
4/4 [==============================] - 0s - loss: 0.5679 - acc: 0.5000 - val_loss: 0.1950 - val_acc: 1.0000
Epoch 433/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.4725 - val_acc: 0.5000
Epoch 434/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2314 - val_acc: 1.0000
Epoch 435/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.1916 - val_acc: 1.0000
Epoch 436/1000
4/4 [==============================] - 0s - loss: 0.5935 - acc: 0.5000 - val_loss: 0.1832 - val_acc: 1.0000
Epoch 437/1000
4/4 [==============================] - 0s - loss: 0.5982 - acc: 0.5000 - val_loss: 0.1812 - val_acc: 1.0000
Epoch 438/1000
4/4 [==============================] - 0s - loss: 0.5292 - acc: 0.7500 - val_loss: 0.4638 - val_acc: 0.5000
Epoch 439/1000
4/4 [==============================] - 0s - loss: 0.5660 - acc: 0.5000 - val_loss: 0.5659 - val_acc: 0.5000
Epoch 440/1000
4/4 [==============================] - 0s - loss: 0.5912 - acc: 0.5000 - val_loss: 0.5913 - val_acc: 0.5000
Epoch 441/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 442/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.5000 - val_acc: 0.5000
Epoch 443/1000
4/4 [==============================] - 0s - loss: 0.5748 - acc: 0.5000 - val_loss: 0.5749 - val_acc: 0.5000
Epoch 444/1000
4/4 [==============================] - 0s - loss: 0.5934 - acc: 0.5000 - val_loss: 0.5935 - val_acc: 0.5000
Epoch 445/1000
4/4 [==============================] - 0s - loss: 0.5983 - acc: 0.5000 - val_loss: 0.5974 - val_acc: 0.5000
Epoch 446/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2524 - val_acc: 1.0000
Epoch 447/1000
4/4 [==============================] - 0s - loss: 0.5662 - acc: 0.5000 - val_loss: 0.1957 - val_acc: 1.0000
Epoch 448/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4732 - val_acc: 0.5000
Epoch 449/1000
4/4 [==============================] - 0s - loss: 0.5681 - acc: 0.5000 - val_loss: 0.5683 - val_acc: 0.5000
Epoch 450/1000
4/4 [==============================] - 0s - loss: 0.5918 - acc: 0.5000 - val_loss: 0.5919 - val_acc: 0.5000
Epoch 451/1000
4/4 [==============================] - 0s - loss: 0.5979 - acc: 0.5000 - val_loss: 0.5972 - val_acc: 0.5000
Epoch 452/1000
4/4 [==============================] - 0s - loss: 0.5291 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 453/1000
4/4 [==============================] - 0s - loss: 0.5660 - acc: 0.5000 - val_loss: 0.1957 - val_acc: 1.0000
Epoch 454/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.1841 - val_acc: 1.0000
Epoch 455/1000
4/4 [==============================] - 0s - loss: 0.5976 - acc: 0.5000 - val_loss: 0.1814 - val_acc: 1.0000
Epoch 456/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1808 - val_acc: 1.0000
Epoch 457/1000
4/4 [==============================] - 0s - loss: 0.5995 - acc: 0.5000 - val_loss: 0.1806 - val_acc: 1.0000
Epoch 458/1000
4/4 [==============================] - 0s - loss: 0.5290 - acc: 0.7500 - val_loss: 0.4639 - val_acc: 0.5000
Epoch 459/1000
4/4 [==============================] - 0s - loss: 0.5661 - acc: 0.5000 - val_loss: 0.5654 - val_acc: 0.5000
Epoch 460/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.5912 - val_acc: 0.5000
Epoch 461/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 462/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.5005 - val_acc: 0.5000
Epoch 463/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.2357 - val_acc: 1.0000
Epoch 464/1000
4/4 [==============================] - 0s - loss: 0.5257 - acc: 0.7500 - val_loss: 0.4936 - val_acc: 0.5000
Epoch 465/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2347 - val_acc: 1.0000
Epoch 466/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4930 - val_acc: 0.5000
Epoch 467/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2346 - val_acc: 1.0000
Epoch 468/1000
4/4 [==============================] - 0s - loss: 0.5731 - acc: 0.5000 - val_loss: 0.1923 - val_acc: 1.0000
Epoch 469/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.1832 - val_acc: 1.0000
Epoch 470/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.4654 - val_acc: 0.5000
Epoch 471/1000
4/4 [==============================] - 0s - loss: 0.5663 - acc: 0.5000 - val_loss: 0.5662 - val_acc: 0.5000
Epoch 472/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.5912 - val_acc: 0.5000
Epoch 473/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 474/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.5001 - val_acc: 0.5000
Epoch 475/1000
4/4 [==============================] - 0s - loss: 0.5257 - acc: 0.7500 - val_loss: 0.2357 - val_acc: 1.0000
Epoch 476/1000
4/4 [==============================] - 0s - loss: 0.5726 - acc: 0.5000 - val_loss: 0.1925 - val_acc: 1.0000
Epoch 477/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.4712 - val_acc: 0.5000
Epoch 478/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.2311 - val_acc: 1.0000
Epoch 479/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4910 - val_acc: 0.5000
Epoch 480/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2344 - val_acc: 1.0000
Epoch 481/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4926 - val_acc: 0.5000
Epoch 482/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.2344 - val_acc: 1.0000
Epoch 483/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4926 - val_acc: 0.5000
Epoch 484/1000
4/4 [==============================] - 0s - loss: 0.5730 - acc: 0.5000 - val_loss: 0.5727 - val_acc: 0.5000
Epoch 485/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.2480 - val_acc: 1.0000
Epoch 486/1000
4/4 [==============================] - 0s - loss: 0.5678 - acc: 0.5000 - val_loss: 0.1949 - val_acc: 1.0000
Epoch 487/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.4725 - val_acc: 0.5000
Epoch 488/1000
4/4 [==============================] - 0s - loss: 0.5263 - acc: 0.7500 - val_loss: 0.2313 - val_acc: 1.0000
Epoch 489/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.1915 - val_acc: 1.0000
Epoch 490/1000
4/4 [==============================] - 0s - loss: 0.5935 - acc: 0.5000 - val_loss: 0.1832 - val_acc: 1.0000
Epoch 491/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.4651 - val_acc: 0.5000
Epoch 492/1000
4/4 [==============================] - 0s - loss: 0.5661 - acc: 0.5000 - val_loss: 0.5662 - val_acc: 0.5000
Epoch 493/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.5909 - val_acc: 0.5000
Epoch 494/1000
4/4 [==============================] - 0s - loss: 0.5284 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 495/1000
4/4 [==============================] - 0s - loss: 0.5665 - acc: 0.5000 - val_loss: 0.1955 - val_acc: 1.0000
Epoch 496/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4729 - val_acc: 0.5000
Epoch 497/1000
4/4 [==============================] - 0s - loss: 0.5682 - acc: 0.5000 - val_loss: 0.5677 - val_acc: 0.5000
Epoch 498/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.2472 - val_acc: 1.0000
Epoch 499/1000
4/4 [==============================] - 0s - loss: 0.5263 - acc: 0.7500 - val_loss: 0.4983 - val_acc: 0.5000
Epoch 500/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.5744 - val_acc: 0.5000
Epoch 501/1000
4/4 [==============================] - 0s - loss: 0.5932 - acc: 0.5000 - val_loss: 0.5933 - val_acc: 0.5000
Epoch 502/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.2517 - val_acc: 1.0000
Epoch 503/1000
4/4 [==============================] - 0s - loss: 0.5662 - acc: 0.5000 - val_loss: 0.1955 - val_acc: 1.0000
Epoch 504/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.1840 - val_acc: 1.0000
Epoch 505/1000
4/4 [==============================] - 0s - loss: 0.5974 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 506/1000
4/4 [==============================] - 0s - loss: 0.5289 - acc: 0.7500 - val_loss: 0.4641 - val_acc: 0.5000
Epoch 507/1000
4/4 [==============================] - 0s - loss: 0.5658 - acc: 0.5000 - val_loss: 0.5659 - val_acc: 0.5000
Epoch 508/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.2468 - val_acc: 1.0000
Epoch 509/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.1945 - val_acc: 1.0000
Epoch 510/1000
4/4 [==============================] - 0s - loss: 0.5272 - acc: 0.7500 - val_loss: 0.4719 - val_acc: 0.5000
Epoch 511/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.5674 - val_acc: 0.5000
Epoch 512/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2470 - val_acc: 1.0000
Epoch 513/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.1947 - val_acc: 1.0000
Epoch 514/1000
4/4 [==============================] - 0s - loss: 0.5916 - acc: 0.5000 - val_loss: 0.1838 - val_acc: 1.0000
Epoch 515/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.4657 - val_acc: 0.5000
Epoch 516/1000
4/4 [==============================] - 0s - loss: 0.5264 - acc: 0.7500 - val_loss: 0.2300 - val_acc: 1.0000
Epoch 517/1000
4/4 [==============================] - 0s - loss: 0.5747 - acc: 0.5000 - val_loss: 0.1913 - val_acc: 1.0000
Epoch 518/1000
4/4 [==============================] - 0s - loss: 0.5935 - acc: 0.5000 - val_loss: 0.1830 - val_acc: 1.0000
Epoch 519/1000
4/4 [==============================] - 0s - loss: 0.5980 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 520/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4641 - val_acc: 0.5000
Epoch 521/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.5657 - val_acc: 0.5000
Epoch 522/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.5908 - val_acc: 0.5000
Epoch 523/1000
4/4 [==============================] - 0s - loss: 0.5284 - acc: 0.7500 - val_loss: 0.2513 - val_acc: 1.0000
Epoch 524/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.5003 - val_acc: 0.5000
Epoch 525/1000
4/4 [==============================] - 0s - loss: 0.5748 - acc: 0.5000 - val_loss: 0.5746 - val_acc: 0.5000
Epoch 526/1000
4/4 [==============================] - 0s - loss: 0.5933 - acc: 0.5000 - val_loss: 0.5932 - val_acc: 0.5000
Epoch 527/1000
4/4 [==============================] - 0s - loss: 0.5980 - acc: 0.5000 - val_loss: 0.5975 - val_acc: 0.5000
Epoch 528/1000
4/4 [==============================] - 0s - loss: 0.5990 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 529/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 530/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.5006 - val_acc: 0.5000
Epoch 531/1000
4/4 [==============================] - 0s - loss: 0.5748 - acc: 0.5000 - val_loss: 0.5750 - val_acc: 0.5000
Epoch 532/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.2484 - val_acc: 1.0000
Epoch 533/1000
4/4 [==============================] - 0s - loss: 0.5673 - acc: 0.5000 - val_loss: 0.1948 - val_acc: 1.0000
Epoch 534/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4725 - val_acc: 0.5000
Epoch 535/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.5680 - val_acc: 0.5000
Epoch 536/1000
4/4 [==============================] - 0s - loss: 0.5915 - acc: 0.5000 - val_loss: 0.5917 - val_acc: 0.5000
Epoch 537/1000
4/4 [==============================] - 0s - loss: 0.5284 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 538/1000
4/4 [==============================] - 0s - loss: 0.5664 - acc: 0.5000 - val_loss: 0.1955 - val_acc: 1.0000
Epoch 539/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.4729 - val_acc: 0.5000
Epoch 540/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.2313 - val_acc: 1.0000
Epoch 541/1000
4/4 [==============================] - 0s - loss: 0.5741 - acc: 0.5000 - val_loss: 0.1915 - val_acc: 1.0000
Epoch 542/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.4705 - val_acc: 0.5000
Epoch 543/1000
4/4 [==============================] - 0s - loss: 0.5263 - acc: 0.7500 - val_loss: 0.2309 - val_acc: 1.0000
Epoch 544/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4913 - val_acc: 0.5000
Epoch 545/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.2341 - val_acc: 1.0000
Epoch 546/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.4925 - val_acc: 0.5000
Epoch 547/1000
4/4 [==============================] - 0s - loss: 0.5729 - acc: 0.5000 - val_loss: 0.5729 - val_acc: 0.5000
Epoch 548/1000
4/4 [==============================] - 0s - loss: 0.5929 - acc: 0.5000 - val_loss: 0.5925 - val_acc: 0.5000
Epoch 549/1000
4/4 [==============================] - 0s - loss: 0.5978 - acc: 0.5000 - val_loss: 0.5977 - val_acc: 0.5000
Epoch 550/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.2525 - val_acc: 1.0000
Epoch 551/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.1956 - val_acc: 1.0000
Epoch 552/1000
4/4 [==============================] - 0s - loss: 0.5910 - acc: 0.5000 - val_loss: 0.1840 - val_acc: 1.0000
Epoch 553/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 554/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.1806 - val_acc: 1.0000
Epoch 555/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1805 - val_acc: 1.0000
Epoch 556/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 557/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 558/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1803 - val_acc: 1.0000
Epoch 559/1000
4/4 [==============================] - 0s - loss: 0.5289 - acc: 0.7500 - val_loss: 0.4636 - val_acc: 0.5000
Epoch 560/1000
4/4 [==============================] - 0s - loss: 0.5264 - acc: 0.7500 - val_loss: 0.2297 - val_acc: 1.0000
Epoch 561/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4904 - val_acc: 0.5000
Epoch 562/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 563/1000
4/4 [==============================] - 0s - loss: 0.5256 - acc: 0.7500 - val_loss: 0.4926 - val_acc: 0.5000
Epoch 564/1000
4/4 [==============================] - 0s - loss: 0.5729 - acc: 0.5000 - val_loss: 0.5726 - val_acc: 0.5000
Epoch 565/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.5928 - val_acc: 0.5000
Epoch 566/1000
4/4 [==============================] - 0s - loss: 0.5978 - acc: 0.5000 - val_loss: 0.5976 - val_acc: 0.5000
Epoch 567/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.5986 - val_acc: 0.5000
Epoch 568/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.5988 - val_acc: 0.5000
Epoch 569/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.5991 - val_acc: 0.5000
Epoch 570/1000
4/4 [==============================] - 0s - loss: 0.5995 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 571/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 572/1000
4/4 [==============================] - 0s - loss: 0.5658 - acc: 0.5000 - val_loss: 0.1957 - val_acc: 1.0000
Epoch 573/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4729 - val_acc: 0.5000
Epoch 574/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.5679 - val_acc: 0.5000
Epoch 575/1000
4/4 [==============================] - 0s - loss: 0.5916 - acc: 0.5000 - val_loss: 0.5913 - val_acc: 0.5000
Epoch 576/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.5974 - val_acc: 0.5000
Epoch 577/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2525 - val_acc: 1.0000
Epoch 578/1000
4/4 [==============================] - 0s - loss: 0.5657 - acc: 0.5000 - val_loss: 0.1955 - val_acc: 1.0000
Epoch 579/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.1840 - val_acc: 1.0000
Epoch 580/1000
4/4 [==============================] - 0s - loss: 0.5974 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 581/1000
4/4 [==============================] - 0s - loss: 0.5988 - acc: 0.5000 - val_loss: 0.1806 - val_acc: 1.0000
Epoch 582/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 583/1000
4/4 [==============================] - 0s - loss: 0.5289 - acc: 0.7500 - val_loss: 0.4635 - val_acc: 0.5000
Epoch 584/1000
4/4 [==============================] - 0s - loss: 0.5657 - acc: 0.5000 - val_loss: 0.5653 - val_acc: 0.5000
Epoch 585/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 586/1000
4/4 [==============================] - 0s - loss: 0.5680 - acc: 0.5000 - val_loss: 0.1945 - val_acc: 1.0000
Epoch 587/1000
4/4 [==============================] - 0s - loss: 0.5914 - acc: 0.5000 - val_loss: 0.1837 - val_acc: 1.0000
Epoch 588/1000
4/4 [==============================] - 0s - loss: 0.5975 - acc: 0.5000 - val_loss: 0.1812 - val_acc: 1.0000
Epoch 589/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4638 - val_acc: 0.5000
Epoch 590/1000
4/4 [==============================] - 0s - loss: 0.5658 - acc: 0.5000 - val_loss: 0.5654 - val_acc: 0.5000
Epoch 591/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 592/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4984 - val_acc: 0.5000
Epoch 593/1000
4/4 [==============================] - 0s - loss: 0.5742 - acc: 0.5000 - val_loss: 0.5744 - val_acc: 0.5000
Epoch 594/1000
4/4 [==============================] - 0s - loss: 0.5932 - acc: 0.5000 - val_loss: 0.5929 - val_acc: 0.5000
Epoch 595/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.2516 - val_acc: 1.0000
Epoch 596/1000
4/4 [==============================] - 0s - loss: 0.5662 - acc: 0.5000 - val_loss: 0.1954 - val_acc: 1.0000
Epoch 597/1000
4/4 [==============================] - 0s - loss: 0.5910 - acc: 0.5000 - val_loss: 0.1839 - val_acc: 1.0000
Epoch 598/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.1813 - val_acc: 1.0000
Epoch 599/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4639 - val_acc: 0.5000
Epoch 600/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.2298 - val_acc: 1.0000
Epoch 601/1000
4/4 [==============================] - 0s - loss: 0.5747 - acc: 0.5000 - val_loss: 0.1912 - val_acc: 1.0000
Epoch 602/1000
4/4 [==============================] - 0s - loss: 0.5934 - acc: 0.5000 - val_loss: 0.1830 - val_acc: 1.0000
Epoch 603/1000
4/4 [==============================] - 0s - loss: 0.5979 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 604/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4640 - val_acc: 0.5000
Epoch 605/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.2298 - val_acc: 1.0000
Epoch 606/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4908 - val_acc: 0.5000
Epoch 607/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.2340 - val_acc: 1.0000
Epoch 608/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4925 - val_acc: 0.5000
Epoch 609/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2343 - val_acc: 1.0000
Epoch 610/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 611/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2343 - val_acc: 1.0000
Epoch 612/1000
4/4 [==============================] - 0s - loss: 0.5729 - acc: 0.5000 - val_loss: 0.1921 - val_acc: 1.0000
Epoch 613/1000
4/4 [==============================] - 0s - loss: 0.5272 - acc: 0.7500 - val_loss: 0.4706 - val_acc: 0.5000
Epoch 614/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.2308 - val_acc: 1.0000
Epoch 615/1000
4/4 [==============================] - 0s - loss: 0.5742 - acc: 0.5000 - val_loss: 0.1913 - val_acc: 1.0000
Epoch 616/1000
4/4 [==============================] - 0s - loss: 0.5273 - acc: 0.7500 - val_loss: 0.4701 - val_acc: 0.5000
Epoch 617/1000
4/4 [==============================] - 0s - loss: 0.5672 - acc: 0.5000 - val_loss: 0.5673 - val_acc: 0.5000
Epoch 618/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2469 - val_acc: 1.0000
Epoch 619/1000
4/4 [==============================] - 0s - loss: 0.5677 - acc: 0.5000 - val_loss: 0.1944 - val_acc: 1.0000
Epoch 620/1000
4/4 [==============================] - 0s - loss: 0.5914 - acc: 0.5000 - val_loss: 0.1836 - val_acc: 1.0000
Epoch 621/1000
4/4 [==============================] - 0s - loss: 0.5975 - acc: 0.5000 - val_loss: 0.1812 - val_acc: 1.0000
Epoch 622/1000
4/4 [==============================] - 0s - loss: 0.5987 - acc: 0.5000 - val_loss: 0.1805 - val_acc: 1.0000
Epoch 623/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.1803 - val_acc: 1.0000
Epoch 624/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.1803 - val_acc: 1.0000
Epoch 625/1000
4/4 [==============================] - 0s - loss: 0.5994 - acc: 0.5000 - val_loss: 0.1803 - val_acc: 1.0000
Epoch 626/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 627/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1803 - val_acc: 1.0000
Epoch 628/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4635 - val_acc: 0.5000
Epoch 629/1000
4/4 [==============================] - 0s - loss: 0.5656 - acc: 0.5000 - val_loss: 0.5656 - val_acc: 0.5000
Epoch 630/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 631/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4982 - val_acc: 0.5000
Epoch 632/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 633/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4932 - val_acc: 0.5000
Epoch 634/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.2345 - val_acc: 1.0000
Epoch 635/1000
4/4 [==============================] - 0s - loss: 0.5727 - acc: 0.5000 - val_loss: 0.1921 - val_acc: 1.0000
Epoch 636/1000
4/4 [==============================] - 0s - loss: 0.5928 - acc: 0.5000 - val_loss: 0.1831 - val_acc: 1.0000
Epoch 637/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.1809 - val_acc: 1.0000
Epoch 638/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.4636 - val_acc: 0.5000
Epoch 639/1000
4/4 [==============================] - 0s - loss: 0.5657 - acc: 0.5000 - val_loss: 0.5653 - val_acc: 0.5000
Epoch 640/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 641/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.4980 - val_acc: 0.5000
Epoch 642/1000
4/4 [==============================] - 0s - loss: 0.5741 - acc: 0.5000 - val_loss: 0.5740 - val_acc: 0.5000
Epoch 643/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2481 - val_acc: 1.0000
Epoch 644/1000
4/4 [==============================] - 0s - loss: 0.5675 - acc: 0.5000 - val_loss: 0.1948 - val_acc: 1.0000
Epoch 645/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.4724 - val_acc: 0.5000
Epoch 646/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.2311 - val_acc: 1.0000
Epoch 647/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4914 - val_acc: 0.5000
Epoch 648/1000
4/4 [==============================] - 0s - loss: 0.5725 - acc: 0.5000 - val_loss: 0.5723 - val_acc: 0.5000
Epoch 649/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2478 - val_acc: 1.0000
Epoch 650/1000
4/4 [==============================] - 0s - loss: 0.5675 - acc: 0.5000 - val_loss: 0.1946 - val_acc: 1.0000
Epoch 651/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.1836 - val_acc: 1.0000
Epoch 652/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 653/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4638 - val_acc: 0.5000
Epoch 654/1000
4/4 [==============================] - 0s - loss: 0.5656 - acc: 0.5000 - val_loss: 0.5657 - val_acc: 0.5000
Epoch 655/1000
4/4 [==============================] - 0s - loss: 0.5908 - acc: 0.5000 - val_loss: 0.5910 - val_acc: 0.5000
Epoch 656/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.5969 - val_acc: 0.5000
Epoch 657/1000
4/4 [==============================] - 0s - loss: 0.5987 - acc: 0.5000 - val_loss: 0.5986 - val_acc: 0.5000
Epoch 658/1000
4/4 [==============================] - 0s - loss: 0.5288 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 659/1000
4/4 [==============================] - 0s - loss: 0.5656 - acc: 0.5000 - val_loss: 0.1956 - val_acc: 1.0000
Epoch 660/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4729 - val_acc: 0.5000
Epoch 661/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.2312 - val_acc: 1.0000
Epoch 662/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4914 - val_acc: 0.5000
Epoch 663/1000
4/4 [==============================] - 0s - loss: 0.5724 - acc: 0.5000 - val_loss: 0.5726 - val_acc: 0.5000
Epoch 664/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.5927 - val_acc: 0.5000
Epoch 665/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.5973 - val_acc: 0.5000
Epoch 666/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.2524 - val_acc: 1.0000
Epoch 667/1000
4/4 [==============================] - 0s - loss: 0.5263 - acc: 0.7500 - val_loss: 0.5005 - val_acc: 0.5000
Epoch 668/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2357 - val_acc: 1.0000
Epoch 669/1000
4/4 [==============================] - 0s - loss: 0.5722 - acc: 0.5000 - val_loss: 0.1923 - val_acc: 1.0000
Epoch 670/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.4707 - val_acc: 0.5000
Epoch 671/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.2308 - val_acc: 1.0000
Epoch 672/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.1914 - val_acc: 1.0000
Epoch 673/1000
4/4 [==============================] - 0s - loss: 0.5931 - acc: 0.5000 - val_loss: 0.1829 - val_acc: 1.0000
Epoch 674/1000
4/4 [==============================] - 0s - loss: 0.5978 - acc: 0.5000 - val_loss: 0.1810 - val_acc: 1.0000
Epoch 675/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4639 - val_acc: 0.5000
Epoch 676/1000
4/4 [==============================] - 0s - loss: 0.5658 - acc: 0.5000 - val_loss: 0.5656 - val_acc: 0.5000
Epoch 677/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2466 - val_acc: 1.0000
Epoch 678/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4982 - val_acc: 0.5000
Epoch 679/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2353 - val_acc: 1.0000
Epoch 680/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.4933 - val_acc: 0.5000
Epoch 681/1000
4/4 [==============================] - 0s - loss: 0.5728 - acc: 0.5000 - val_loss: 0.5731 - val_acc: 0.5000
Epoch 682/1000
4/4 [==============================] - 0s - loss: 0.5927 - acc: 0.5000 - val_loss: 0.5927 - val_acc: 0.5000
Epoch 683/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.5975 - val_acc: 0.5000
Epoch 684/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.5985 - val_acc: 0.5000
Epoch 685/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 686/1000
4/4 [==============================] - 0s - loss: 0.5993 - acc: 0.5000 - val_loss: 0.5988 - val_acc: 0.5000
Epoch 687/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 688/1000
4/4 [==============================] - 0s - loss: 0.5264 - acc: 0.7500 - val_loss: 0.5005 - val_acc: 0.5000
Epoch 689/1000
4/4 [==============================] - 0s - loss: 0.5746 - acc: 0.5000 - val_loss: 0.5746 - val_acc: 0.5000
Epoch 690/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.5932 - val_acc: 0.5000
Epoch 691/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.5977 - val_acc: 0.5000
Epoch 692/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.2525 - val_acc: 1.0000
Epoch 693/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.5008 - val_acc: 0.5000
Epoch 694/1000
4/4 [==============================] - 0s - loss: 0.5747 - acc: 0.5000 - val_loss: 0.5747 - val_acc: 0.5000
Epoch 695/1000
4/4 [==============================] - 0s - loss: 0.5931 - acc: 0.5000 - val_loss: 0.5932 - val_acc: 0.5000
Epoch 696/1000
4/4 [==============================] - 0s - loss: 0.5284 - acc: 0.7500 - val_loss: 0.2517 - val_acc: 1.0000
Epoch 697/1000
4/4 [==============================] - 0s - loss: 0.5660 - acc: 0.5000 - val_loss: 0.1954 - val_acc: 1.0000
Epoch 698/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.4725 - val_acc: 0.5000
Epoch 699/1000
4/4 [==============================] - 0s - loss: 0.5678 - acc: 0.5000 - val_loss: 0.5676 - val_acc: 0.5000
Epoch 700/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2471 - val_acc: 1.0000
Epoch 701/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.1945 - val_acc: 1.0000
Epoch 702/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.1836 - val_acc: 1.0000
Epoch 703/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.4657 - val_acc: 0.5000
Epoch 704/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.2300 - val_acc: 1.0000
Epoch 705/1000
4/4 [==============================] - 0s - loss: 0.5745 - acc: 0.5000 - val_loss: 0.1912 - val_acc: 1.0000
Epoch 706/1000
4/4 [==============================] - 0s - loss: 0.5931 - acc: 0.5000 - val_loss: 0.1829 - val_acc: 1.0000
Epoch 707/1000
4/4 [==============================] - 0s - loss: 0.5283 - acc: 0.7500 - val_loss: 0.4651 - val_acc: 0.5000
Epoch 708/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.5659 - val_acc: 0.5000
Epoch 709/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 710/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4980 - val_acc: 0.5000
Epoch 711/1000
4/4 [==============================] - 0s - loss: 0.5739 - acc: 0.5000 - val_loss: 0.5742 - val_acc: 0.5000
Epoch 712/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2481 - val_acc: 1.0000
Epoch 713/1000
4/4 [==============================] - 0s - loss: 0.5672 - acc: 0.5000 - val_loss: 0.1946 - val_acc: 1.0000
Epoch 714/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.4720 - val_acc: 0.5000
Epoch 715/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.5677 - val_acc: 0.5000
Epoch 716/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2469 - val_acc: 1.0000
Epoch 717/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.4983 - val_acc: 0.5000
Epoch 718/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 719/1000
4/4 [==============================] - 0s - loss: 0.5255 - acc: 0.7500 - val_loss: 0.4930 - val_acc: 0.5000
Epoch 720/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2344 - val_acc: 1.0000
Epoch 721/1000
4/4 [==============================] - 0s - loss: 0.5726 - acc: 0.5000 - val_loss: 0.1920 - val_acc: 1.0000
Epoch 722/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.1830 - val_acc: 1.0000
Epoch 723/1000
4/4 [==============================] - 0s - loss: 0.5976 - acc: 0.5000 - val_loss: 0.1809 - val_acc: 1.0000
Epoch 724/1000
4/4 [==============================] - 0s - loss: 0.5989 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 725/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.4634 - val_acc: 0.5000
Epoch 726/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.2296 - val_acc: 1.0000
Epoch 727/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4905 - val_acc: 0.5000
Epoch 728/1000
4/4 [==============================] - 0s - loss: 0.5722 - acc: 0.5000 - val_loss: 0.5723 - val_acc: 0.5000
Epoch 729/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2478 - val_acc: 1.0000
Epoch 730/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4987 - val_acc: 0.5000
Epoch 731/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 732/1000
4/4 [==============================] - 0s - loss: 0.5723 - acc: 0.5000 - val_loss: 0.1922 - val_acc: 1.0000
Epoch 733/1000
4/4 [==============================] - 0s - loss: 0.5924 - acc: 0.5000 - val_loss: 0.1830 - val_acc: 1.0000
Epoch 734/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.4651 - val_acc: 0.5000
Epoch 735/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.5659 - val_acc: 0.5000
Epoch 736/1000
4/4 [==============================] - 0s - loss: 0.5908 - acc: 0.5000 - val_loss: 0.5910 - val_acc: 0.5000
Epoch 737/1000
4/4 [==============================] - 0s - loss: 0.5973 - acc: 0.5000 - val_loss: 0.5968 - val_acc: 0.5000
Epoch 738/1000
4/4 [==============================] - 0s - loss: 0.5987 - acc: 0.5000 - val_loss: 0.5985 - val_acc: 0.5000
Epoch 739/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.5989 - val_acc: 0.5000
Epoch 740/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.5991 - val_acc: 0.5000
Epoch 741/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.2525 - val_acc: 1.0000
Epoch 742/1000
4/4 [==============================] - 0s - loss: 0.5656 - acc: 0.5000 - val_loss: 0.1955 - val_acc: 1.0000
Epoch 743/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4729 - val_acc: 0.5000
Epoch 744/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2310 - val_acc: 1.0000
Epoch 745/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.4913 - val_acc: 0.5000
Epoch 746/1000
4/4 [==============================] - 0s - loss: 0.5723 - acc: 0.5000 - val_loss: 0.5725 - val_acc: 0.5000
Epoch 747/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.5924 - val_acc: 0.5000
Epoch 748/1000
4/4 [==============================] - 0s - loss: 0.5283 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 749/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.1952 - val_acc: 1.0000
Epoch 750/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4726 - val_acc: 0.5000
Epoch 751/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.2312 - val_acc: 1.0000
Epoch 752/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4912 - val_acc: 0.5000
Epoch 753/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2341 - val_acc: 1.0000
Epoch 754/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 755/1000
4/4 [==============================] - 0s - loss: 0.5727 - acc: 0.5000 - val_loss: 0.5728 - val_acc: 0.5000
Epoch 756/1000
4/4 [==============================] - 0s - loss: 0.5927 - acc: 0.5000 - val_loss: 0.5924 - val_acc: 0.5000
Epoch 757/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 758/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.5002 - val_acc: 0.5000
Epoch 759/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2354 - val_acc: 1.0000
Epoch 760/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.4931 - val_acc: 0.5000
Epoch 761/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2344 - val_acc: 1.0000
Epoch 762/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4928 - val_acc: 0.5000
Epoch 763/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 764/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 765/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 766/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.4926 - val_acc: 0.5000
Epoch 767/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 768/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 769/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 770/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 771/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2342 - val_acc: 1.0000
Epoch 772/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4927 - val_acc: 0.5000
Epoch 773/1000
4/4 [==============================] - 0s - loss: 0.5726 - acc: 0.5000 - val_loss: 0.5729 - val_acc: 0.5000
Epoch 774/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.5926 - val_acc: 0.5000
Epoch 775/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 776/1000
4/4 [==============================] - 0s - loss: 0.5660 - acc: 0.5000 - val_loss: 0.1953 - val_acc: 1.0000
Epoch 777/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4727 - val_acc: 0.5000
Epoch 778/1000
4/4 [==============================] - 0s - loss: 0.5678 - acc: 0.5000 - val_loss: 0.5675 - val_acc: 0.5000
Epoch 779/1000
4/4 [==============================] - 0s - loss: 0.5913 - acc: 0.5000 - val_loss: 0.5913 - val_acc: 0.5000
Epoch 780/1000
4/4 [==============================] - 0s - loss: 0.5972 - acc: 0.5000 - val_loss: 0.5971 - val_acc: 0.5000
Epoch 781/1000
4/4 [==============================] - 0s - loss: 0.5988 - acc: 0.5000 - val_loss: 0.5983 - val_acc: 0.5000
Epoch 782/1000
4/4 [==============================] - 0s - loss: 0.5287 - acc: 0.7500 - val_loss: 0.2526 - val_acc: 1.0000
Epoch 783/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.5007 - val_acc: 0.5000
Epoch 784/1000
4/4 [==============================] - 0s - loss: 0.5746 - acc: 0.5000 - val_loss: 0.5749 - val_acc: 0.5000
Epoch 785/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.2483 - val_acc: 1.0000
Epoch 786/1000
4/4 [==============================] - 0s - loss: 0.5670 - acc: 0.5000 - val_loss: 0.1946 - val_acc: 1.0000
Epoch 787/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.1836 - val_acc: 1.0000
Epoch 788/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.4656 - val_acc: 0.5000
Epoch 789/1000
4/4 [==============================] - 0s - loss: 0.5660 - acc: 0.5000 - val_loss: 0.5660 - val_acc: 0.5000
Epoch 790/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2467 - val_acc: 1.0000
Epoch 791/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.4980 - val_acc: 0.5000
Epoch 792/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 793/1000
4/4 [==============================] - 0s - loss: 0.5722 - acc: 0.5000 - val_loss: 0.1921 - val_acc: 1.0000
Epoch 794/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.4706 - val_acc: 0.5000
Epoch 795/1000
4/4 [==============================] - 0s - loss: 0.5672 - acc: 0.5000 - val_loss: 0.5673 - val_acc: 0.5000
Epoch 796/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2469 - val_acc: 1.0000
Epoch 797/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.1944 - val_acc: 1.0000
Epoch 798/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.4719 - val_acc: 0.5000
Epoch 799/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.5673 - val_acc: 0.5000
Epoch 800/1000
4/4 [==============================] - 0s - loss: 0.5267 - acc: 0.7500 - val_loss: 0.2469 - val_acc: 1.0000
Epoch 801/1000
4/4 [==============================] - 0s - loss: 0.5677 - acc: 0.5000 - val_loss: 0.1945 - val_acc: 1.0000
Epoch 802/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4721 - val_acc: 0.5000
Epoch 803/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2310 - val_acc: 1.0000
Epoch 804/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4910 - val_acc: 0.5000
Epoch 805/1000
4/4 [==============================] - 0s - loss: 0.5254 - acc: 0.7500 - val_loss: 0.2340 - val_acc: 1.0000
Epoch 806/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4924 - val_acc: 0.5000
Epoch 807/1000
4/4 [==============================] - 0s - loss: 0.5725 - acc: 0.5000 - val_loss: 0.5726 - val_acc: 0.5000
Epoch 808/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2477 - val_acc: 1.0000
Epoch 809/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.4985 - val_acc: 0.5000
Epoch 810/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 811/1000
4/4 [==============================] - 0s - loss: 0.5722 - acc: 0.5000 - val_loss: 0.1922 - val_acc: 1.0000
Epoch 812/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4708 - val_acc: 0.5000
Epoch 813/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2307 - val_acc: 1.0000
Epoch 814/1000
4/4 [==============================] - 0s - loss: 0.5740 - acc: 0.5000 - val_loss: 0.1912 - val_acc: 1.0000
Epoch 815/1000
4/4 [==============================] - 0s - loss: 0.5269 - acc: 0.7500 - val_loss: 0.4703 - val_acc: 0.5000
Epoch 816/1000
4/4 [==============================] - 0s - loss: 0.5671 - acc: 0.5000 - val_loss: 0.5672 - val_acc: 0.5000
Epoch 817/1000
4/4 [==============================] - 0s - loss: 0.5912 - acc: 0.5000 - val_loss: 0.5912 - val_acc: 0.5000
Epoch 818/1000
4/4 [==============================] - 0s - loss: 0.5972 - acc: 0.5000 - val_loss: 0.5971 - val_acc: 0.5000
Epoch 819/1000
4/4 [==============================] - 0s - loss: 0.5284 - acc: 0.7500 - val_loss: 0.2522 - val_acc: 1.0000
Epoch 820/1000
4/4 [==============================] - 0s - loss: 0.5656 - acc: 0.5000 - val_loss: 0.1954 - val_acc: 1.0000
Epoch 821/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4726 - val_acc: 0.5000
Epoch 822/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2311 - val_acc: 1.0000
Epoch 823/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4910 - val_acc: 0.5000
Epoch 824/1000
4/4 [==============================] - 0s - loss: 0.5721 - acc: 0.5000 - val_loss: 0.5725 - val_acc: 0.5000
Epoch 825/1000
4/4 [==============================] - 0s - loss: 0.5925 - acc: 0.5000 - val_loss: 0.5924 - val_acc: 0.5000
Epoch 826/1000
4/4 [==============================] - 0s - loss: 0.5280 - acc: 0.7500 - val_loss: 0.2513 - val_acc: 1.0000
Epoch 827/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.1952 - val_acc: 1.0000
Epoch 828/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4724 - val_acc: 0.5000
Epoch 829/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.2309 - val_acc: 1.0000
Epoch 830/1000
4/4 [==============================] - 0s - loss: 0.5740 - acc: 0.5000 - val_loss: 0.1913 - val_acc: 1.0000
Epoch 831/1000
4/4 [==============================] - 0s - loss: 0.5928 - acc: 0.5000 - val_loss: 0.1828 - val_acc: 1.0000
Epoch 832/1000
4/4 [==============================] - 0s - loss: 0.5977 - acc: 0.5000 - val_loss: 0.1809 - val_acc: 1.0000
Epoch 833/1000
4/4 [==============================] - 0s - loss: 0.5988 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 834/1000
4/4 [==============================] - 0s - loss: 0.5990 - acc: 0.5000 - val_loss: 0.1802 - val_acc: 1.0000
Epoch 835/1000
4/4 [==============================] - 0s - loss: 0.5991 - acc: 0.5000 - val_loss: 0.1802 - val_acc: 1.0000
Epoch 836/1000
4/4 [==============================] - 0s - loss: 0.5992 - acc: 0.5000 - val_loss: 0.1802 - val_acc: 1.0000
Epoch 837/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.4635 - val_acc: 0.5000
Epoch 838/1000
4/4 [==============================] - 0s - loss: 0.5654 - acc: 0.5000 - val_loss: 0.5655 - val_acc: 0.5000
Epoch 839/1000
4/4 [==============================] - 0s - loss: 0.5906 - acc: 0.5000 - val_loss: 0.5909 - val_acc: 0.5000
Epoch 840/1000
4/4 [==============================] - 0s - loss: 0.5281 - acc: 0.7500 - val_loss: 0.2511 - val_acc: 1.0000
Epoch 841/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.4999 - val_acc: 0.5000
Epoch 842/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.5747 - val_acc: 0.5000
Epoch 843/1000
4/4 [==============================] - 0s - loss: 0.5271 - acc: 0.7500 - val_loss: 0.2482 - val_acc: 1.0000
Epoch 844/1000
4/4 [==============================] - 0s - loss: 0.5671 - acc: 0.5000 - val_loss: 0.1946 - val_acc: 1.0000
Epoch 845/1000
4/4 [==============================] - 0s - loss: 0.5910 - acc: 0.5000 - val_loss: 0.1836 - val_acc: 1.0000
Epoch 846/1000
4/4 [==============================] - 0s - loss: 0.5972 - acc: 0.5000 - val_loss: 0.1811 - val_acc: 1.0000
Epoch 847/1000
4/4 [==============================] - 0s - loss: 0.5985 - acc: 0.5000 - val_loss: 0.1804 - val_acc: 1.0000
Epoch 848/1000
4/4 [==============================] - 0s - loss: 0.5286 - acc: 0.7500 - val_loss: 0.4635 - val_acc: 0.5000
Epoch 849/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.2296 - val_acc: 1.0000
Epoch 850/1000
4/4 [==============================] - 0s - loss: 0.5745 - acc: 0.5000 - val_loss: 0.1911 - val_acc: 1.0000
Epoch 851/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.1827 - val_acc: 1.0000
Epoch 852/1000
4/4 [==============================] - 0s - loss: 0.5976 - acc: 0.5000 - val_loss: 0.1808 - val_acc: 1.0000
Epoch 853/1000
4/4 [==============================] - 0s - loss: 0.5285 - acc: 0.7500 - val_loss: 0.4636 - val_acc: 0.5000
Epoch 854/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.2296 - val_acc: 1.0000
Epoch 855/1000
4/4 [==============================] - 0s - loss: 0.5745 - acc: 0.5000 - val_loss: 0.1910 - val_acc: 1.0000
Epoch 856/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.4701 - val_acc: 0.5000
Epoch 857/1000
4/4 [==============================] - 0s - loss: 0.5259 - acc: 0.7500 - val_loss: 0.2306 - val_acc: 1.0000
Epoch 858/1000
4/4 [==============================] - 0s - loss: 0.5251 - acc: 0.7500 - val_loss: 0.4911 - val_acc: 0.5000
Epoch 859/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.2340 - val_acc: 1.0000
Epoch 860/1000
4/4 [==============================] - 0s - loss: 0.5253 - acc: 0.7500 - val_loss: 0.4924 - val_acc: 0.5000
Epoch 861/1000
4/4 [==============================] - 0s - loss: 0.5725 - acc: 0.5000 - val_loss: 0.5726 - val_acc: 0.5000
Epoch 862/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2477 - val_acc: 1.0000
Epoch 863/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4987 - val_acc: 0.5000
Epoch 864/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 865/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.4932 - val_acc: 0.5000
Epoch 866/1000
4/4 [==============================] - 0s - loss: 0.5727 - acc: 0.5000 - val_loss: 0.5729 - val_acc: 0.5000
Epoch 867/1000
4/4 [==============================] - 0s - loss: 0.5268 - acc: 0.7500 - val_loss: 0.2478 - val_acc: 1.0000
Epoch 868/1000
4/4 [==============================] - 0s - loss: 0.5258 - acc: 0.7500 - val_loss: 0.4987 - val_acc: 0.5000
Epoch 869/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.2352 - val_acc: 1.0000
Epoch 870/1000
4/4 [==============================] - 0s - loss: 0.5252 - acc: 0.7500 - val_loss: 0.4932 - val_acc: 0.5000
Epoch 871/1000
4/4 [==============================] - 0s - loss: 0.5726 - acc: 0.5000 - val_loss: 0.5730 - val_acc: 0.5000
Epoch 872/1000
4/4 [==============================] - 0s - loss: 0.5926 - acc: 0.5000 - val_loss: 0.5924 - val_acc: 0.5000
Epoch 873/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2514 - val_acc: 1.0000
Epoch 874/1000
4/4 [==============================] - 0s - loss: 0.5262 - acc: 0.7500 - val_loss: 0.5002 - val_acc: 0.5000
Epoch 875/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.5747 - val_acc: 0.5000
Epoch 876/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.5931 - val_acc: 0.5000
Epoch 877/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 878/1000
4/4 [==============================] - 0s - loss: 0.5261 - acc: 0.7500 - val_loss: 0.5003 - val_acc: 0.5000
Epoch 879/1000
4/4 [==============================] - 0s - loss: 0.5744 - acc: 0.5000 - val_loss: 0.5747 - val_acc: 0.5000
Epoch 880/1000
4/4 [==============================] - 0s - loss: 0.5930 - acc: 0.5000 - val_loss: 0.5931 - val_acc: 0.5000
Epoch 881/1000
4/4 [==============================] - 0s - loss: 0.5282 - acc: 0.7500 - val_loss: 0.2515 - val_acc: 1.0000
Epoch 882/1000
4/4 [==============================] - 0s - loss: 0.5659 - acc: 0.5000 - val_loss: 0.1953 - val_acc: 1.0000
Epoch 883/1000
4/4 [==============================] - 0s - loss: 0.5265 - acc: 0.7500 - val_loss: 0.4725 - val_acc: 0.5000
Epoch 884/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.5677 - val_acc: 0.5000
Epoch 885/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.2470 - val_acc: 1.0000
Epoch 886/1000
4/4 [==============================] - 0s - loss: 0.5675 - acc: 0.5000 - val_loss: 0.1943 - val_acc: 1.0000
Epoch 887/1000
4/4 [==============================] - 0s - loss: 0.5266 - acc: 0.7500 - val_loss: 0.4721 - val_acc: 0.5000
Epoch 888/1000
4/4 [==============================] - 0s - loss: 0.5676 - acc: 0.5000 - val_loss: 0.5674 - val_acc: 0.5000
Epoch 889/1000
4/4 [==============================] - 0s - loss: 0.5911 - acc: 0.5000 - val_loss: 0.5913 - val_acc: 0.5000
Epoch 890/1000
4/4 [==============================] - 0s - loss: 0.5280 - acc: 0.7500 - val_loss: 0.2511 - val_acc: 1.0000
Epoch 891/1000
4/4 [==============================] - 0s - loss: 0.5260 - acc: 0.7500 - val_loss: 0.5001 - val_acc: 0.5000
Epoch 892/1000
4/4 [==============================] - 0s - loss: 0.5743 - acc: 0.5000 - val_loss: 0.5747 - val_acc: 0.5000
Epoch 893/1000
4/4 [==============================] - 0s - loss: 0.5270 - acc: 0.7500 - val_loss: 0.2482 - val_acc: 1.0000
Epoch 894/1000
1/4 [======>.......................] - ETA: 0s - loss: 0.9401 - acc: 0.0000e+00

查看结果


In [13]:
score = model.evaluate(x_test, y_test, verbose=0)
print('Test loss:', score[0])
print('Test accuracy:', score[1])
print(model.predict_proba(x_train))


Test loss: 0.191269084811
Test accuracy: 1.0
4/4 [==============================] - 0s
[[  4.62359312e-04]
 [  9.99635100e-01]
 [  6.82443380e-01]
 [  6.82729125e-01]]