In [242]:
# Loading all data and labels from file
import h5py
import numpy as np
from keras.utils.np_utils import to_categorical
feature_file = "../preprocess/MSRII-c3d-features.h5"
mode = "r"
with h5py.File(feature_file, mode) as h5:
'''
print(h5.keys())
print(h5['features'])
print(h5['labels'])
'''
data = np.array(h5['features'])
labels = np.array(h5['labels'])
labels[np.where(labels > 0)] = 1
labels = to_categorical(labels, 2)
print(data.shape)
print(labels.shape)
# Seperate data and labels into one training set and one test set
data_rows, _ = data.shape
print(data_rows)
np.random.seed(1993)
rand_permed_rows_seed = np.random.permutation(data_rows)
print(rand_permed_rows_seed)
rand_permed_data = data[rand_permed_rows_seed]
rand_permed_labels = labels[rand_permed_rows_seed]
test_data_rows = 500
X_test = rand_permed_data[0:test_data_rows, :]
y_test = rand_permed_labels[0:test_data_rows, :]
X_train = rand_permed_data[test_data_rows: , :]
y_train = rand_permed_labels[test_data_rows: , :]
(2359, 4096)
(2359, 2)
2359
[1160 640 2349 ..., 1969 1721 1441]
In [243]:
# MLP model (with tanh sigmoid layers)
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
# Create model
model = Sequential()
# Dense(#) is a fully-connected layer with [#] hidden units.
# in the first layer, you must specify the expected input data shape:
# here, 4096-dimensional vectors.
model.add(Dense(256, input_dim=4096, init='uniform'))
model.add(Activation('sigmoid'))
model.add(Dropout(0.5))
model.add(Dense(256, init='uniform'))
model.add(Activation('sigmoid'))
model.add(Dropout(0.5))
model.add(Dense(256, init='uniform'))
model.add(Activation('sigmoid'))
model.add(Dropout(0.5))
model.add(Dense(2, init='uniform'))
model.add(Activation('softmax'))
# Compile model
sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True)
model.compile(loss='binary_crossentropy',
optimizer=sgd,
metrics=['accuracy'])
model.summary()
____________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
====================================================================================================
dense_95 (Dense) (None, 256) 1048832 dense_input_37[0][0]
____________________________________________________________________________________________________
activation_95 (Activation) (None, 256) 0 dense_95[0][0]
____________________________________________________________________________________________________
dropout_59 (Dropout) (None, 256) 0 activation_95[0][0]
____________________________________________________________________________________________________
dense_96 (Dense) (None, 256) 65792 dropout_59[0][0]
____________________________________________________________________________________________________
activation_96 (Activation) (None, 256) 0 dense_96[0][0]
____________________________________________________________________________________________________
dropout_60 (Dropout) (None, 256) 0 activation_96[0][0]
____________________________________________________________________________________________________
dense_97 (Dense) (None, 256) 65792 dropout_60[0][0]
____________________________________________________________________________________________________
activation_97 (Activation) (None, 256) 0 dense_97[0][0]
____________________________________________________________________________________________________
dropout_61 (Dropout) (None, 256) 0 activation_97[0][0]
____________________________________________________________________________________________________
dense_98 (Dense) (None, 2) 514 dropout_61[0][0]
____________________________________________________________________________________________________
activation_98 (Activation) (None, 2) 0 dense_98[0][0]
====================================================================================================
Total params: 1180930
____________________________________________________________________________________________________
In [244]:
batch_size = 16
nb_epoch = 1000
best_accuracy = 0.0
best_epoch = 0
np.random.seed(1993)
for ep in range(1, nb_epoch):
H = model.fit(X_train,
y_train,
batch_size=batch_size,
nb_epoch=1, verbose=0,
validation_split=0.2)
loss = H.history['val_loss']
accuracy = H.history['val_acc']
print('epoch\t' + str(ep) + ':\t(loss, accuracy) = ' + str(loss) + ',\t' + str(accuracy))
if accuracy > best_accuracy:
best_accuracy = accuracy
best_epoch = ep
best_W = model.get_weights()
print('-------------------------------------------------------------------------------')
print('best_accuracy: ' + str(best_accuracy) + ' generated at epoch ' + str(best_epoch))
model.reset_states()
model.set_weights(best_W)
epoch 1: (loss, accuracy) = [0.42142141121689991], [0.82795698924731187]
epoch 2: (loss, accuracy) = [0.39969678351315119], [0.83064516129032262]
epoch 3: (loss, accuracy) = [0.32082391498229834], [0.84408602150537637]
epoch 4: (loss, accuracy) = [0.339049643406304], [0.88709677419354838]
epoch 5: (loss, accuracy) = [0.3716523100932439], [0.86559139784946237]
epoch 6: (loss, accuracy) = [0.28076701995826536], [0.88709677419354838]
epoch 7: (loss, accuracy) = [0.34247423884689165], [0.83333333333333337]
epoch 8: (loss, accuracy) = [0.36123437939151642], [0.81989247311827962]
epoch 9: (loss, accuracy) = [0.31102135072472276], [0.87634408602150538]
epoch 10: (loss, accuracy) = [0.32850412175219545], [0.86827956989247312]
epoch 11: (loss, accuracy) = [0.38395608929536673], [0.80107526881720426]
epoch 12: (loss, accuracy) = [0.28270673607626268], [0.89247311827956988]
epoch 13: (loss, accuracy) = [0.34698003434365793], [0.84946236559139787]
epoch 14: (loss, accuracy) = [0.29556079513283184], [0.88978494623655913]
epoch 15: (loss, accuracy) = [0.27977152801649546], [0.88172043010752688]
epoch 16: (loss, accuracy) = [0.36381085489385873], [0.88978494623655913]
epoch 17: (loss, accuracy) = [0.27240076829348842], [0.89784946236559138]
epoch 18: (loss, accuracy) = [0.29458423583738264], [0.86559139784946237]
epoch 19: (loss, accuracy) = [0.28410724109859875], [0.86827956989247312]
epoch 20: (loss, accuracy) = [0.31707735952510629], [0.88709677419354838]
epoch 21: (loss, accuracy) = [0.31627819246502331], [0.89247311827956988]
epoch 22: (loss, accuracy) = [0.3171341327890273], [0.88172043010752688]
epoch 23: (loss, accuracy) = [0.28295195975931742], [0.90860215053763438]
epoch 24: (loss, accuracy) = [0.34799728935123769], [0.88172043010752688]
epoch 25: (loss, accuracy) = [0.30526743004078505], [0.90053763440860213]
epoch 26: (loss, accuracy) = [0.30193826043477623], [0.88978494623655913]
epoch 27: (loss, accuracy) = [0.34996256464591591], [0.83333333333333337]
epoch 28: (loss, accuracy) = [0.26343101895945048], [0.89247311827956988]
epoch 29: (loss, accuracy) = [0.29246620849896504], [0.90860215053763438]
epoch 30: (loss, accuracy) = [0.26223496756246012], [0.87903225806451613]
epoch 31: (loss, accuracy) = [0.28144738847209561], [0.89784946236559138]
epoch 32: (loss, accuracy) = [0.29788140984632638], [0.85483870967741937]
epoch 33: (loss, accuracy) = [0.27480425277063925], [0.90053763440860213]
epoch 34: (loss, accuracy) = [0.30687509389013373], [0.88440860215053763]
epoch 35: (loss, accuracy) = [0.29185766927016676], [0.86290322580645162]
epoch 36: (loss, accuracy) = [0.25875630526132481], [0.89247311827956988]
epoch 37: (loss, accuracy) = [0.28819676492643614], [0.86559139784946237]
epoch 38: (loss, accuracy) = [0.24695185523840688], [0.90860215053763438]
epoch 39: (loss, accuracy) = [0.25193942306182715], [0.90053763440860213]
epoch 40: (loss, accuracy) = [0.24359030564946513], [0.90322580645161288]
epoch 41: (loss, accuracy) = [0.26412489850033993], [0.89516129032258063]
epoch 42: (loss, accuracy) = [0.28791834285823248], [0.88172043010752688]
epoch 43: (loss, accuracy) = [0.25769237761375724], [0.90860215053763438]
epoch 44: (loss, accuracy) = [0.26961427846903441], [0.88440860215053763]
epoch 45: (loss, accuracy) = [0.26993012107828612], [0.88440860215053763]
epoch 46: (loss, accuracy) = [0.25157792609865948], [0.89784946236559138]
epoch 47: (loss, accuracy) = [0.26646642174611812], [0.90053763440860213]
epoch 48: (loss, accuracy) = [0.27028436998846711], [0.90053763440860213]
epoch 49: (loss, accuracy) = [0.25851324228670008], [0.91129032258064513]
epoch 50: (loss, accuracy) = [0.25358475536428471], [0.89784946236559138]
epoch 51: (loss, accuracy) = [0.25359413688701971], [0.90591397849462363]
epoch 52: (loss, accuracy) = [0.2516463618044571], [0.90053763440860213]
epoch 53: (loss, accuracy) = [0.25391755477395112], [0.90860215053763438]
epoch 54: (loss, accuracy) = [0.24075749035804503], [0.91397849462365588]
epoch 55: (loss, accuracy) = [0.29763123749565051], [0.88978494623655913]
epoch 56: (loss, accuracy) = [0.24983541082630875], [0.91666666666666663]
epoch 57: (loss, accuracy) = [0.26249195306852302], [0.90322580645161288]
epoch 58: (loss, accuracy) = [0.28449067861963345], [0.89784946236559138]
epoch 59: (loss, accuracy) = [0.23599007351183762], [0.91129032258064513]
epoch 60: (loss, accuracy) = [0.24660847039632899], [0.91666666666666663]
epoch 61: (loss, accuracy) = [0.25447799838198126], [0.91129032258064513]
epoch 62: (loss, accuracy) = [0.25586309764654408], [0.89784946236559138]
epoch 63: (loss, accuracy) = [0.25533082051783479], [0.87903225806451613]
epoch 64: (loss, accuracy) = [0.23918745730833341], [0.90053763440860213]
epoch 65: (loss, accuracy) = [0.24040360764790608], [0.89784946236559138]
epoch 66: (loss, accuracy) = [0.26055425725957398], [0.90860215053763438]
epoch 67: (loss, accuracy) = [0.2404307502732482], [0.90860215053763438]
epoch 68: (loss, accuracy) = [0.27857025790839424], [0.91935483870967738]
epoch 69: (loss, accuracy) = [0.23926101614951448], [0.90860215053763438]
epoch 70: (loss, accuracy) = [0.27086916057172644], [0.86827956989247312]
epoch 71: (loss, accuracy) = [0.25194943798405511], [0.89247311827956988]
epoch 72: (loss, accuracy) = [0.27439106027445487], [0.90591397849462363]
epoch 73: (loss, accuracy) = [0.23890035034668061], [0.90860215053763438]
epoch 74: (loss, accuracy) = [0.27352204896830101], [0.91129032258064513]
epoch 75: (loss, accuracy) = [0.26220127307279134], [0.88709677419354838]
epoch 76: (loss, accuracy) = [0.26008606281492019], [0.90322580645161288]
epoch 77: (loss, accuracy) = [0.24438343950176752], [0.91129032258064513]
epoch 78: (loss, accuracy) = [0.24163075930048381], [0.90860215053763438]
epoch 79: (loss, accuracy) = [0.27079578481053795], [0.88978494623655913]
epoch 80: (loss, accuracy) = [0.25966864656056127], [0.90053763440860213]
epoch 81: (loss, accuracy) = [0.25181690539403628], [0.91397849462365588]
epoch 82: (loss, accuracy) = [0.27967764573392045], [0.89247311827956988]
epoch 83: (loss, accuracy) = [0.24181345101165516], [0.91397849462365588]
epoch 84: (loss, accuracy) = [0.25144245034904888], [0.89247311827956988]
epoch 85: (loss, accuracy) = [0.2899975139767893], [0.90860215053763438]
epoch 86: (loss, accuracy) = [0.24140912851178517], [0.91129032258064513]
epoch 87: (loss, accuracy) = [0.24895239661457719], [0.90053763440860213]
epoch 88: (loss, accuracy) = [0.25141012730697793], [0.91397849462365588]
epoch 89: (loss, accuracy) = [0.27720877019468176], [0.91666666666666663]
epoch 90: (loss, accuracy) = [0.22545552932687343], [0.91935483870967738]
epoch 91: (loss, accuracy) = [0.2351087395161871], [0.92204301075268813]
epoch 92: (loss, accuracy) = [0.25051235816171091], [0.90591397849462363]
epoch 93: (loss, accuracy) = [0.23530311021272854], [0.90591397849462363]
epoch 94: (loss, accuracy) = [0.25086833889125498], [0.91935483870967738]
epoch 95: (loss, accuracy) = [0.2416732963374866], [0.89516129032258063]
epoch 96: (loss, accuracy) = [0.26972142823280826], [0.90322580645161288]
epoch 97: (loss, accuracy) = [0.2532804246230792], [0.89784946236559138]
epoch 98: (loss, accuracy) = [0.2492636962723668], [0.90860215053763438]
epoch 99: (loss, accuracy) = [0.24771080943205023], [0.90322580645161288]
epoch 100: (loss, accuracy) = [0.24303273159650066], [0.90322580645161288]
epoch 101: (loss, accuracy) = [0.26583168928020745], [0.89516129032258063]
epoch 102: (loss, accuracy) = [0.25835563194367195], [0.90860215053763438]
epoch 103: (loss, accuracy) = [0.26273011664549512], [0.90860215053763438]
epoch 104: (loss, accuracy) = [0.2344500582304693], [0.91666666666666663]
epoch 105: (loss, accuracy) = [0.21441572888564037], [0.90322580645161288]
epoch 106: (loss, accuracy) = [0.23969751460257396], [0.91666666666666663]
epoch 107: (loss, accuracy) = [0.25506298183914156], [0.91397849462365588]
epoch 108: (loss, accuracy) = [0.24594866684688035], [0.91129032258064513]
epoch 109: (loss, accuracy) = [0.25467541897969859], [0.90860215053763438]
epoch 110: (loss, accuracy) = [0.2371491075202983], [0.91129032258064513]
epoch 111: (loss, accuracy) = [0.22754753280871659], [0.90591397849462363]
epoch 112: (loss, accuracy) = [0.23301069288244169], [0.92204301075268813]
epoch 113: (loss, accuracy) = [0.25728285144413671], [0.90591397849462363]
epoch 114: (loss, accuracy) = [0.29180705519292943], [0.89784946236559138]
epoch 115: (loss, accuracy) = [0.25444508665391513], [0.91129032258064513]
epoch 116: (loss, accuracy) = [0.26126292864641837], [0.91666666666666663]
epoch 117: (loss, accuracy) = [0.24373458802539816], [0.91666666666666663]
epoch 118: (loss, accuracy) = [0.23133317326065353], [0.91666666666666663]
epoch 119: (loss, accuracy) = [0.24995015225102823], [0.90860215053763438]
epoch 120: (loss, accuracy) = [0.25879941912748483], [0.88440860215053763]
epoch 121: (loss, accuracy) = [0.22529528111780203], [0.90053763440860213]
epoch 122: (loss, accuracy) = [0.24940153932379139], [0.88978494623655913]
epoch 123: (loss, accuracy) = [0.25224196414152783], [0.89516129032258063]
epoch 124: (loss, accuracy) = [0.23674986271127577], [0.90860215053763438]
epoch 125: (loss, accuracy) = [0.23943914496089502], [0.89516129032258063]
epoch 126: (loss, accuracy) = [0.25203958699499729], [0.90053763440860213]
epoch 127: (loss, accuracy) = [0.238167114976433], [0.91666666666666663]
epoch 128: (loss, accuracy) = [0.25814595490053138], [0.90860215053763438]
epoch 129: (loss, accuracy) = [0.2525432483162931], [0.88709677419354838]
epoch 130: (loss, accuracy) = [0.21897013285147246], [0.91666666666666663]
epoch 131: (loss, accuracy) = [0.23698777569237575], [0.88978494623655913]
epoch 132: (loss, accuracy) = [0.22197070773891223], [0.91129032258064513]
epoch 133: (loss, accuracy) = [0.21544589552908175], [0.90322580645161288]
epoch 134: (loss, accuracy) = [0.21477639314628416], [0.91129032258064513]
epoch 135: (loss, accuracy) = [0.24161248009211272], [0.91129032258064513]
epoch 136: (loss, accuracy) = [0.21985003790788113], [0.91397849462365588]
epoch 137: (loss, accuracy) = [0.24554243443473692], [0.90322580645161288]
epoch 138: (loss, accuracy) = [0.23726034327660517], [0.90860215053763438]
epoch 139: (loss, accuracy) = [0.22572949686918847], [0.90053763440860213]
epoch 140: (loss, accuracy) = [0.23564932741705449], [0.91129032258064513]
epoch 141: (loss, accuracy) = [0.23496231800245662], [0.90591397849462363]
epoch 142: (loss, accuracy) = [0.24506823774126749], [0.91129032258064513]
epoch 143: (loss, accuracy) = [0.22757281037548216], [0.91666666666666663]
epoch 144: (loss, accuracy) = [0.20979961045887521], [0.92204301075268813]
epoch 145: (loss, accuracy) = [0.25595196449668495], [0.90860215053763438]
epoch 146: (loss, accuracy) = [0.29135395169899025], [0.90053763440860213]
epoch 147: (loss, accuracy) = [0.25545759937695917], [0.90322580645161288]
epoch 148: (loss, accuracy) = [0.26219143177713117], [0.91666666666666663]
epoch 149: (loss, accuracy) = [0.25633647279833915], [0.88978494623655913]
epoch 150: (loss, accuracy) = [0.24069692621067648], [0.90860215053763438]
epoch 151: (loss, accuracy) = [0.25314594924409861], [0.91397849462365588]
epoch 152: (loss, accuracy) = [0.20457215839496223], [0.91129032258064513]
epoch 153: (loss, accuracy) = [0.30536418518311875], [0.89784946236559138]
epoch 154: (loss, accuracy) = [0.25694457202228488], [0.90860215053763438]
epoch 155: (loss, accuracy) = [0.23999732280130026], [0.91666666666666663]
epoch 156: (loss, accuracy) = [0.22250044105514402], [0.91666666666666663]
epoch 157: (loss, accuracy) = [0.28974611945049739], [0.91129032258064513]
epoch 158: (loss, accuracy) = [0.23228818222239453], [0.90860215053763438]
epoch 159: (loss, accuracy) = [0.24489360405833169], [0.91397849462365588]
epoch 160: (loss, accuracy) = [0.26606543838817587], [0.90591397849462363]
epoch 161: (loss, accuracy) = [0.27369206444790928], [0.91666666666666663]
epoch 162: (loss, accuracy) = [0.24485380462901565], [0.91129032258064513]
epoch 163: (loss, accuracy) = [0.27383593951542212], [0.91397849462365588]
epoch 164: (loss, accuracy) = [0.2997766723956472], [0.89516129032258063]
epoch 165: (loss, accuracy) = [0.23859884069171003], [0.91935483870967738]
epoch 166: (loss, accuracy) = [0.29760902501162023], [0.91397849462365588]
epoch 167: (loss, accuracy) = [0.24966320473580592], [0.91397849462365588]
epoch 168: (loss, accuracy) = [0.24197740684593877], [0.88440860215053763]
epoch 169: (loss, accuracy) = [0.2457004808770713], [0.91129032258064513]
epoch 170: (loss, accuracy) = [0.2529864488670262], [0.89247311827956988]
epoch 171: (loss, accuracy) = [0.23018078598123726], [0.90860215053763438]
epoch 172: (loss, accuracy) = [0.22446503842710167], [0.90860215053763438]
epoch 173: (loss, accuracy) = [0.26298581644572239], [0.91666666666666663]
epoch 174: (loss, accuracy) = [0.24618221551019659], [0.89516129032258063]
epoch 175: (loss, accuracy) = [0.2620003376837059], [0.88978494623655913]
epoch 176: (loss, accuracy) = [0.23931840372582278], [0.91666666666666663]
epoch 177: (loss, accuracy) = [0.22758192845409916], [0.90860215053763438]
epoch 178: (loss, accuracy) = [0.22235306071978744], [0.90053763440860213]
epoch 179: (loss, accuracy) = [0.31576245378262252], [0.91129032258064513]
epoch 180: (loss, accuracy) = [0.24736718767352642], [0.91935483870967738]
epoch 181: (loss, accuracy) = [0.24355631473884787], [0.90322580645161288]
epoch 182: (loss, accuracy) = [0.26083026437829898], [0.92204301075268813]
epoch 183: (loss, accuracy) = [0.22890744069891591], [0.91129032258064513]
epoch 184: (loss, accuracy) = [0.2322492876480664], [0.90053763440860213]
epoch 185: (loss, accuracy) = [0.22440781772777599], [0.90322580645161288]
epoch 186: (loss, accuracy) = [0.25099827541458991], [0.90860215053763438]
epoch 187: (loss, accuracy) = [0.26874935342579759], [0.90860215053763438]
epoch 188: (loss, accuracy) = [0.25692725057403248], [0.88978494623655913]
epoch 189: (loss, accuracy) = [0.33852351068328784], [0.88978494623655913]
epoch 190: (loss, accuracy) = [0.24511538910609421], [0.91129032258064513]
epoch 191: (loss, accuracy) = [0.22870922056577539], [0.91129032258064513]
epoch 192: (loss, accuracy) = [0.22639357793315124], [0.91129032258064513]
epoch 193: (loss, accuracy) = [0.22133243374366274], [0.91397849462365588]
epoch 194: (loss, accuracy) = [0.2623483691644925], [0.90591397849462363]
epoch 195: (loss, accuracy) = [0.22491274113135953], [0.91397849462365588]
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epoch 202: (loss, accuracy) = [0.2251244243234396], [0.91397849462365588]
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epoch 220: (loss, accuracy) = [0.241407496994862], [0.90053763440860213]
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epoch 250: (loss, accuracy) = [0.26148039047476107], [0.91666666666666663]
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epoch 280: (loss, accuracy) = [0.21803871389999185], [0.90053763440860213]
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epoch 300: (loss, accuracy) = [0.22881216132732971], [0.91397849462365588]
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epoch 305: (loss, accuracy) = [0.23450839767853418], [0.92204301075268813]
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epoch 427: (loss, accuracy) = [0.26032757959378661], [0.91935483870967738]
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epoch 662: (loss, accuracy) = [0.25081356815613243], [0.91666666666666663]
epoch 663: (loss, accuracy) = [0.20985929212803323], [0.92473118279569888]
epoch 664: (loss, accuracy) = [0.2381048439000483], [0.92204301075268813]
epoch 665: (loss, accuracy) = [0.26240520948864599], [0.92473118279569888]
epoch 666: (loss, accuracy) = [0.2499256623528337], [0.92473118279569888]
epoch 667: (loss, accuracy) = [0.22316639685142103], [0.90322580645161288]
epoch 668: (loss, accuracy) = [0.30878178937540901], [0.92204301075268813]
epoch 669: (loss, accuracy) = [0.29787292990893605], [0.91129032258064513]
epoch 670: (loss, accuracy) = [0.2278809250602799], [0.91666666666666663]
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epoch 672: (loss, accuracy) = [0.22193713385050975], [0.91935483870967738]
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epoch 674: (loss, accuracy) = [0.2420023268749637], [0.91397849462365588]
epoch 675: (loss, accuracy) = [0.22717301591589886], [0.92741935483870963]
epoch 676: (loss, accuracy) = [0.2185644492286668], [0.94086021505376349]
epoch 677: (loss, accuracy) = [0.21847473557597846], [0.91129032258064513]
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epoch 679: (loss, accuracy) = [0.2312236512530475], [0.92741935483870963]
epoch 680: (loss, accuracy) = [0.31127846966527645], [0.91129032258064513]
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epoch 682: (loss, accuracy) = [0.23162763660913835], [0.92473118279569888]
epoch 683: (loss, accuracy) = [0.24927350373498053], [0.92473118279569888]
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epoch 688: (loss, accuracy) = [0.24164314348731311], [0.91397849462365588]
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epoch 690: (loss, accuracy) = [0.30163801911096738], [0.91129032258064513]
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epoch 692: (loss, accuracy) = [0.24431147556551683], [0.91935483870967738]
epoch 693: (loss, accuracy) = [0.22400914437778455], [0.93010752688172038]
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epoch 702: (loss, accuracy) = [0.19762923981573793], [0.92741935483870963]
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epoch 704: (loss, accuracy) = [0.20292170397857184], [0.92741935483870963]
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epoch 707: (loss, accuracy) = [0.21240581576061504], [0.92473118279569888]
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epoch 710: (loss, accuracy) = [0.24868337766978368], [0.91935483870967738]
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epoch 713: (loss, accuracy) = [0.27485110464515866], [0.91666666666666663]
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epoch 720: (loss, accuracy) = [0.20978624806288751], [0.91935483870967738]
epoch 721: (loss, accuracy) = [0.23782897023584254], [0.91935483870967738]
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epoch 725: (loss, accuracy) = [0.21390584627947501], [0.91129032258064513]
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epoch 727: (loss, accuracy) = [0.23193890030335595], [0.92741935483870963]
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epoch 737: (loss, accuracy) = [0.22605185734949285], [0.91666666666666663]
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epoch 739: (loss, accuracy) = [0.21588528062146839], [0.92473118279569888]
epoch 740: (loss, accuracy) = [0.2690701341326599], [0.92473118279569888]
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epoch 750: (loss, accuracy) = [0.19245780333976753], [0.93279569892473113]
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epoch 757: (loss, accuracy) = [0.21596739275921736], [0.92741935483870963]
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epoch 759: (loss, accuracy) = [0.29343470899007651], [0.91666666666666663]
epoch 760: (loss, accuracy) = [0.2410963188621506], [0.93010752688172038]
epoch 761: (loss, accuracy) = [0.21112803268616878], [0.93817204301075274]
epoch 762: (loss, accuracy) = [0.22464825495356514], [0.93817204301075274]
epoch 763: (loss, accuracy) = [0.24096548465651371], [0.92204301075268813]
epoch 764: (loss, accuracy) = [0.23209942536809111], [0.93010752688172038]
epoch 765: (loss, accuracy) = [0.23563549655079041], [0.91666666666666663]
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epoch 767: (loss, accuracy) = [0.2302688394963581], [0.92204301075268813]
epoch 768: (loss, accuracy) = [0.20715165717066616], [0.93010752688172038]
epoch 769: (loss, accuracy) = [0.24130480073051908], [0.92473118279569888]
epoch 770: (loss, accuracy) = [0.20097653317435454], [0.93010752688172038]
epoch 771: (loss, accuracy) = [0.22385899407628884], [0.93010752688172038]
epoch 772: (loss, accuracy) = [0.21253716636709469], [0.92204301075268813]
epoch 773: (loss, accuracy) = [0.2175927854002884], [0.92204301075268813]
epoch 774: (loss, accuracy) = [0.22717155226235908], [0.92204301075268813]
epoch 775: (loss, accuracy) = [0.23790514593323073], [0.93010752688172038]
epoch 776: (loss, accuracy) = [0.27086548255856641], [0.92741935483870963]
epoch 777: (loss, accuracy) = [0.21358725767562625], [0.91397849462365588]
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epoch 779: (loss, accuracy) = [0.23159541179155629], [0.92473118279569888]
epoch 780: (loss, accuracy) = [0.29167439562008185], [0.93010752688172038]
epoch 781: (loss, accuracy) = [0.22217081116652618], [0.93010752688172038]
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epoch 783: (loss, accuracy) = [0.24493675153722527], [0.93279569892473113]
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epoch 789: (loss, accuracy) = [0.24241720822449492], [0.92473118279569888]
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epoch 791: (loss, accuracy) = [0.20811210373937283], [0.92741935483870963]
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epoch 795: (loss, accuracy) = [0.32718828538124778], [0.92741935483870963]
epoch 796: (loss, accuracy) = [0.25964589533646421], [0.92741935483870963]
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epoch 799: (loss, accuracy) = [0.22153045686202183], [0.93010752688172038]
epoch 800: (loss, accuracy) = [0.22249491874288807], [0.94354838709677424]
epoch 801: (loss, accuracy) = [0.21946988597021549], [0.94354838709677424]
epoch 802: (loss, accuracy) = [0.23633330552187817], [0.94086021505376349]
epoch 803: (loss, accuracy) = [0.20684746587749131], [0.93279569892473113]
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epoch 806: (loss, accuracy) = [0.20988728161100098], [0.92741935483870963]
epoch 807: (loss, accuracy) = [0.21223807818586787], [0.92741935483870963]
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epoch 810: (loss, accuracy) = [0.25485715000159159], [0.91666666666666663]
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epoch 812: (loss, accuracy) = [0.27532030540888991], [0.93279569892473113]
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epoch 816: (loss, accuracy) = [0.22944163117477651], [0.93010752688172038]
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epoch 819: (loss, accuracy) = [0.21707321824105355], [0.92204301075268813]
epoch 820: (loss, accuracy) = [0.25958811717611108], [0.91935483870967738]
epoch 821: (loss, accuracy) = [0.22819081807799477], [0.92473118279569888]
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epoch 826: (loss, accuracy) = [0.27633217305085189], [0.92204301075268813]
epoch 827: (loss, accuracy) = [0.25564176164647584], [0.91397849462365588]
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epoch 830: (loss, accuracy) = [0.21647355698489695], [0.93010752688172038]
epoch 831: (loss, accuracy) = [0.29368052432333591], [0.91129032258064513]
epoch 832: (loss, accuracy) = [0.2257031569637919], [0.92204301075268813]
epoch 833: (loss, accuracy) = [0.22973478914949522], [0.92204301075268813]
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epoch 835: (loss, accuracy) = [0.2470032958193652], [0.92204301075268813]
epoch 836: (loss, accuracy) = [0.25668978964990025], [0.92741935483870963]
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epoch 839: (loss, accuracy) = [0.22913609434580129], [0.92204301075268813]
epoch 840: (loss, accuracy) = [0.24598860157082877], [0.93279569892473113]
epoch 841: (loss, accuracy) = [0.27119526011188344], [0.91397849462365588]
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epoch 847: (loss, accuracy) = [0.21298671273454542], [0.93010752688172038]
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epoch 849: (loss, accuracy) = [0.23116207391684573], [0.92741935483870963]
epoch 850: (loss, accuracy) = [0.20728709576250884], [0.94086021505376349]
epoch 851: (loss, accuracy) = [0.22904484160244465], [0.93010752688172038]
epoch 852: (loss, accuracy) = [0.27054600690000802], [0.91666666666666663]
epoch 853: (loss, accuracy) = [0.22580309256270367], [0.93279569892473113]
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epoch 855: (loss, accuracy) = [0.20752281633516154], [0.93817204301075274]
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epoch 857: (loss, accuracy) = [0.21184353271539333], [0.93010752688172038]
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epoch 859: (loss, accuracy) = [0.24233184607639427], [0.92473118279569888]
epoch 860: (loss, accuracy) = [0.25480485672471664], [0.92473118279569888]
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epoch 866: (loss, accuracy) = [0.23531118037319312], [0.92741935483870963]
epoch 867: (loss, accuracy) = [0.19908986371310969], [0.93279569892473113]
epoch 868: (loss, accuracy) = [0.19379408356122751], [0.93279569892473113]
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epoch 870: (loss, accuracy) = [0.2766340760306345], [0.91935483870967738]
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epoch 873: (loss, accuracy) = [0.22191079900479846], [0.93279569892473113]
epoch 874: (loss, accuracy) = [0.23601197953566269], [0.93279569892473113]
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epoch 878: (loss, accuracy) = [0.21321235457935961], [0.92473118279569888]
epoch 879: (loss, accuracy) = [0.21080473156004984], [0.94354838709677424]
epoch 880: (loss, accuracy) = [0.24356422591603971], [0.92473118279569888]
epoch 881: (loss, accuracy) = [0.22442871542216869], [0.92473118279569888]
epoch 882: (loss, accuracy) = [0.21364851731566653], [0.92741935483870963]
epoch 883: (loss, accuracy) = [0.26565708585023401], [0.90860215053763438]
epoch 884: (loss, accuracy) = [0.26435583680918218], [0.92473118279569888]
epoch 885: (loss, accuracy) = [0.25601004891758483], [0.92473118279569888]
epoch 886: (loss, accuracy) = [0.23494549546270602], [0.92204301075268813]
epoch 887: (loss, accuracy) = [0.24722964453300642], [0.93548387096774188]
epoch 888: (loss, accuracy) = [0.20309710979301443], [0.91397849462365588]
epoch 889: (loss, accuracy) = [0.22402054874316579], [0.93279569892473113]
epoch 890: (loss, accuracy) = [0.26595511455940063], [0.93010752688172038]
epoch 891: (loss, accuracy) = [0.23762603143295172], [0.91935483870967738]
epoch 892: (loss, accuracy) = [0.21657695547146824], [0.92204301075268813]
epoch 893: (loss, accuracy) = [0.21278602304938499], [0.93279569892473113]
epoch 894: (loss, accuracy) = [0.21100387457878358], [0.93279569892473113]
epoch 895: (loss, accuracy) = [0.2049467637033392], [0.92473118279569888]
epoch 896: (loss, accuracy) = [0.23738938176463689], [0.92741935483870963]
epoch 897: (loss, accuracy) = [0.22486863973280113], [0.92741935483870963]
epoch 898: (loss, accuracy) = [0.20450883007217799], [0.92204301075268813]
epoch 899: (loss, accuracy) = [0.22399349084564596], [0.93817204301075274]
epoch 900: (loss, accuracy) = [0.22329042829893608], [0.92741935483870963]
epoch 901: (loss, accuracy) = [0.21416969085612925], [0.92204301075268813]
epoch 902: (loss, accuracy) = [0.23972738400271904], [0.93010752688172038]
epoch 903: (loss, accuracy) = [0.21305388878400047], [0.93817204301075274]
epoch 904: (loss, accuracy) = [0.20687623697543336], [0.93279569892473113]
epoch 905: (loss, accuracy) = [0.28090052986617692], [0.91397849462365588]
epoch 906: (loss, accuracy) = [0.23034769280623363], [0.92204301075268813]
epoch 907: (loss, accuracy) = [0.23445399198681116], [0.92473118279569888]
epoch 908: (loss, accuracy) = [0.21065645690967319], [0.93010752688172038]
epoch 909: (loss, accuracy) = [0.21569558627583008], [0.92473118279569888]
epoch 910: (loss, accuracy) = [0.23992425961149555], [0.93010752688172038]
epoch 911: (loss, accuracy) = [0.22099083901372968], [0.92473118279569888]
epoch 912: (loss, accuracy) = [0.23306402671952001], [0.92741935483870963]
epoch 913: (loss, accuracy) = [0.23661132974760427], [0.93548387096774188]
epoch 914: (loss, accuracy) = [0.33663386149802593], [0.92204301075268813]
epoch 915: (loss, accuracy) = [0.24729254434726411], [0.92741935483870963]
epoch 916: (loss, accuracy) = [0.29200723323900935], [0.92473118279569888]
epoch 917: (loss, accuracy) = [0.23320922530406424], [0.92741935483870963]
epoch 918: (loss, accuracy) = [0.25706702941197462], [0.92473118279569888]
epoch 919: (loss, accuracy) = [0.24053490832598218], [0.93010752688172038]
epoch 920: (loss, accuracy) = [0.24659206950911872], [0.93010752688172038]
epoch 921: (loss, accuracy) = [0.21621238972531051], [0.94086021505376349]
epoch 922: (loss, accuracy) = [0.20114610534441726], [0.93548387096774188]
epoch 923: (loss, accuracy) = [0.23982944054108474], [0.93010752688172038]
epoch 924: (loss, accuracy) = [0.25255087664180625], [0.92741935483870963]
epoch 925: (loss, accuracy) = [0.21407378671230168], [0.94086021505376349]
epoch 926: (loss, accuracy) = [0.2416044062489183], [0.92741935483870963]
epoch 927: (loss, accuracy) = [0.23998665660169097], [0.92741935483870963]
epoch 928: (loss, accuracy) = [0.25594696544751683], [0.93279569892473113]
epoch 929: (loss, accuracy) = [0.23251380058886703], [0.92204301075268813]
epoch 930: (loss, accuracy) = [0.26887215867949027], [0.92741935483870963]
epoch 931: (loss, accuracy) = [0.22883886263094921], [0.91129032258064513]
epoch 932: (loss, accuracy) = [0.25446797121611614], [0.92741935483870963]
epoch 933: (loss, accuracy) = [0.27359863631277076], [0.93279569892473113]
epoch 934: (loss, accuracy) = [0.22642848091400278], [0.92204301075268813]
epoch 935: (loss, accuracy) = [0.24882919518076765], [0.93010752688172038]
epoch 936: (loss, accuracy) = [0.21984219714318232], [0.92741935483870963]
epoch 937: (loss, accuracy) = [0.23277824870010297], [0.93010752688172038]
epoch 938: (loss, accuracy) = [0.23516677776151287], [0.92741935483870963]
epoch 939: (loss, accuracy) = [0.2539405853071961], [0.92473118279569888]
epoch 940: (loss, accuracy) = [0.24841455472457993], [0.92741935483870963]
epoch 941: (loss, accuracy) = [0.27739340961430103], [0.92473118279569888]
epoch 942: (loss, accuracy) = [0.27863400596474369], [0.92741935483870963]
epoch 943: (loss, accuracy) = [0.24117915869079609], [0.92204301075268813]
epoch 944: (loss, accuracy) = [0.28083663797306435], [0.91129032258064513]
epoch 945: (loss, accuracy) = [0.24733697500966129], [0.93010752688172038]
epoch 946: (loss, accuracy) = [0.28024923442537464], [0.92741935483870963]
epoch 947: (loss, accuracy) = [0.24381014338308965], [0.92741935483870963]
epoch 948: (loss, accuracy) = [0.22645472853709894], [0.93279569892473113]
epoch 949: (loss, accuracy) = [0.25565392668459125], [0.93279569892473113]
epoch 950: (loss, accuracy) = [0.22228210969948239], [0.93010752688172038]
epoch 951: (loss, accuracy) = [0.23300593630761229], [0.93279569892473113]
epoch 952: (loss, accuracy) = [0.27433280622641687], [0.92741935483870963]
epoch 953: (loss, accuracy) = [0.24202175666728326], [0.92473118279569888]
epoch 954: (loss, accuracy) = [0.21491416830629592], [0.92473118279569888]
epoch 955: (loss, accuracy) = [0.21906826017744918], [0.93010752688172038]
epoch 956: (loss, accuracy) = [0.24448763232763296], [0.92741935483870963]
epoch 957: (loss, accuracy) = [0.27631028083663794], [0.92741935483870963]
epoch 958: (loss, accuracy) = [0.23556095181453612], [0.93548387096774188]
epoch 959: (loss, accuracy) = [0.32580169523635538], [0.91397849462365588]
epoch 960: (loss, accuracy) = [0.27162084157668775], [0.92473118279569888]
epoch 961: (loss, accuracy) = [0.33208150922831509], [0.91397849462365588]
epoch 962: (loss, accuracy) = [0.23055834013728366], [0.92204301075268813]
epoch 963: (loss, accuracy) = [0.25905044787308024], [0.91935483870967738]
epoch 964: (loss, accuracy) = [0.22338591786151532], [0.93548387096774188]
epoch 965: (loss, accuracy) = [0.22555563324231215], [0.93010752688172038]
epoch 966: (loss, accuracy) = [0.23358902690671784], [0.91666666666666663]
epoch 967: (loss, accuracy) = [0.23898484669024905], [0.92741935483870963]
epoch 968: (loss, accuracy) = [0.27403253471974526], [0.91129032258064513]
epoch 969: (loss, accuracy) = [0.27850063255066754], [0.92741935483870963]
epoch 970: (loss, accuracy) = [0.31543917570924085], [0.90053763440860213]
epoch 971: (loss, accuracy) = [0.23906539488203263], [0.92204301075268813]
epoch 972: (loss, accuracy) = [0.25152465036659633], [0.91935483870967738]
epoch 973: (loss, accuracy) = [0.23611976021540262], [0.92204301075268813]
epoch 974: (loss, accuracy) = [0.24545204022308431], [0.92473118279569888]
epoch 975: (loss, accuracy) = [0.2225657334320888], [0.93010752688172038]
epoch 976: (loss, accuracy) = [0.27840781504205697], [0.93279569892473113]
epoch 977: (loss, accuracy) = [0.29552811881657487], [0.92473118279569888]
epoch 978: (loss, accuracy) = [0.3397160349657849], [0.91935483870967738]
epoch 979: (loss, accuracy) = [0.2461710059164112], [0.92741935483870963]
epoch 980: (loss, accuracy) = [0.27031988922446487], [0.92741935483870963]
epoch 981: (loss, accuracy) = [0.27640672251632215], [0.92741935483870963]
epoch 982: (loss, accuracy) = [0.3172070775850756], [0.93010752688172038]
epoch 983: (loss, accuracy) = [0.28189675785320739], [0.91666666666666663]
epoch 984: (loss, accuracy) = [0.29131340367659447], [0.92741935483870963]
epoch 985: (loss, accuracy) = [0.21558742626740407], [0.92741935483870963]
epoch 986: (loss, accuracy) = [0.22543161052970156], [0.92204301075268813]
epoch 987: (loss, accuracy) = [0.25734746211799242], [0.93279569892473113]
epoch 988: (loss, accuracy) = [0.25995962937132167], [0.93279569892473113]
epoch 989: (loss, accuracy) = [0.26446991599094805], [0.92741935483870963]
epoch 990: (loss, accuracy) = [0.25517647925974624], [0.93548387096774188]
epoch 991: (loss, accuracy) = [0.21389782536394333], [0.93279569892473113]
epoch 992: (loss, accuracy) = [0.22071418577745075], [0.92741935483870963]
epoch 993: (loss, accuracy) = [0.23296332158028119], [0.92204301075268813]
epoch 994: (loss, accuracy) = [0.23078954434623161], [0.92741935483870963]
epoch 995: (loss, accuracy) = [0.22717587407478082], [0.91935483870967738]
epoch 996: (loss, accuracy) = [0.23420957736771114], [0.92473118279569888]
epoch 997: (loss, accuracy) = [0.24840783879601508], [0.92204301075268813]
epoch 998: (loss, accuracy) = [0.1976495153140477], [0.93010752688172038]
epoch 999: (loss, accuracy) = [0.24656545679755909], [0.91397849462365588]
-------------------------------------------------------------------------------
best_accuracy: [0.94354838709677424] generated at epoch 565
In [245]:
# Test
loss, accuracy = model.evaluate(X_test, y_test, batch_size=16)
accuracy
352/500 [====================>.........] - ETA: 0s
Out[245]:
0.91200000000000003
Content source: NTHU-CVLab/ActivityProps
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