text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
callbacks = [ReduceLROnPlateau(monitor='val_loss', patience=5, cooldown=0), EarlyStopping(monitor='val_acc', min_delta=0.0001, patience=5)]
history = model.fit(x_train, y_train, batch_size=BATCH_SIZE, epochs=EPOCHS, validation_split=0.1, verbose=1, callbacks=callbacks)