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reduce_lr, tensorboard, csv_logger] # Fit the model with the callbacks history = model.fit(X_train, y_train, epochs=100, batch_size=25, validation_split=0.2, callbacks=callbacks_list) Section 6: Evaluating Model Performance After training the model, the next step is to evaluate its performance