How can I create custom callbacks in TensorFlow Keras?

How can I create custom callbacks in TensorFlow Keras?

You can create custom callbacks by subclassing the tf.keras.callbacks.Callback class and overriding its methods.

Can you give me an example of a custom callback?

Sure! Here's a simple example that logs the loss at the end of each epoch:

class CustomCallback(tf.keras.callbacks.Callback):
    def on_epoch_end(self, epoch, logs=None):
        print(f'Epoch {epoch + 1}: loss = {logs.get('loss'):.4f}')

How do I use this custom callback in my model training?

You can use it by passing an instance of your custom callback to the callbacks parameter in the fit method:

model.fit(x_train, y_train, epochs=10, callbacks=[CustomCallback()])

What other built-in callbacks are available in Keras?

Keras provides several built-in callbacks like ModelCheckpoint, EarlyStopping, and ReduceLROnPlateau.