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import ModelCheckpoint, ReduceLROnPlateau, TensorBoard, CSVLogger # Callback to save the model periodically model_checkpoint = ModelCheckpoint('best_model.h5', save_best_only=True, monitor='val_loss') # Callback to reduce learning rate when a metric has stopped improving reduce_lr =