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TensorFlow 1 version
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Callbacks: utilities called at certain points during model training.
Modules
experimental module: Public API for tf.keras.callbacks.experimental namespace.
Classes
class BaseLogger: Callback that accumulates epoch averages of metrics.
class CSVLogger: Callback that streams epoch results to a CSV file.
class Callback: Abstract base class used to build new callbacks.
class CallbackList: Container abstracting a list of callbacks.
class EarlyStopping: Stop training when a monitored metric has stopped improving.
class History: Callback that records events into a History object.
class LambdaCallback: Callback for creating simple, custom callbacks on-the-fly.
class LearningRateScheduler: Learning rate scheduler.
class ModelCheckpoint: Callback to save the Keras model or model weights at some frequency.
class ProgbarLogger: Callback that prints metrics to stdout.
class ReduceLROnPlateau: Reduce learning rate when a metric has stopped improving.
class RemoteMonitor: Callback used to stream events to a server.
class TensorBoard: Enable visualizations for TensorBoard.
class TerminateOnNaN: Callback that terminates training when a NaN loss is encountered.