softmax
parent
2707edb725
commit
8c2640d88d
5
wut-ml
5
wut-ml
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@ -49,12 +49,13 @@ model.add(Dense(64))
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model.add(Activation('relu'))
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model.add(Dropout(0.5))
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model.add(Dense(1))
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model.add(Activation('sigmoid'))
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model.add(Activation('softmax'))
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#model.compile(loss='categorical_crossentropy',
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model.compile(loss='binary_crossentropy',
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optimizer='rmsprop',
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metrics=['accuracy'])
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model.fit(x=train_it, validation_data=val_it, epochs=16, verbose=2, workers=16, use_multiprocessing=True)
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model.fit(x=train_it, validation_data=val_it, epochs=2, verbose=2, workers=16, use_multiprocessing=True)
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prediction = model.predict(x=test_it, batch_size=None, verbose=0, steps=None, use_multiprocessing=True)
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print(prediction)
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