Training and Evaluation

Once a model is defined, it can be trained using the .fit() method, where you pass the input data, target labels, and the number of epochs. Keras provides features for monitoring training, such as callbacks for early stopping, learning rate scheduling, and logging.

• Example:pythonCopy codemodel.fit(x_train, y_train, epochs=10, batch_size=32, validation_data=(x_val, y_val))