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model.compile(optimizer=Adam(lr=0.0001),loss='categorical_crossentropy',metrics=['accuracy']) | |
batch_size=32 | |
epochs=64 | |
history = model.fit_generator(datagen.flow(X_train,y_train, batch_size=batch_size), | |
epochs = epochs, | |
validation_data = (X_test,y_test), | |
verbose = 1) |
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