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@SkalskiP
Created September 13, 2018 22:03
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# Adding callback functions that will run on each epoch
testmodelcb = keras.callbacks.LambdaCallback(on_epoch_end=save_model_prediction_graph)
# Compilation of the model
model.compile(loss='binary_crossentropy', optimizer='adamax', metrics=['accuracy'])
# Model training
model.fit(X_train, y_train, epochs=N_EPOCHS, verbose=0, callbacks=[testmodelcb])
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