DO NOT EDIT. This file was autogenerated. Do not edit it by hand, since your modifications would be overwritten. ## Classes [`class BackupAndRestore`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/BackupAndRestore): Callback to back up and restore the training state. [`class CSVLogger`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/CSVLogger): Callback that streams epoch results to a CSV file. [`class Callback`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/Callback): Base class used to build new callbacks. [`class CallbackList`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/CallbackList): Container abstracting a list of callbacks. [`class EarlyStopping`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/EarlyStopping): Stop training when a monitored metric has stopped improving. [`class History`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/History): Callback that records events into a `History` object. [`class LambdaCallback`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/LambdaCallback): Callback for creating simple, custom callbacks on-the-fly. [`class LearningRateScheduler`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/LearningRateScheduler): Learning rate scheduler. [`class ModelCheckpoint`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint): Callback to save the Keras model or model weights at some frequency. [`class OrbaxCheckpoint`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/OrbaxCheckpoint): Callback to save and load model state using Orbax with a similar API to ModelCheckpoint. [`class ProgbarLogger`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ProgbarLogger): Callback that prints metrics to stdout. [`class ReduceLROnPlateau`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ReduceLROnPlateau): Reduce learning rate when a metric has stopped improving. [`class RemoteMonitor`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/RemoteMonitor): Callback used to stream events to a server. [`class SwapEMAWeights`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/SwapEMAWeights): Swaps model weights and EMA weights before and after evaluation. [`class TensorBoard`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/TensorBoard): Enable visualizations for TensorBoard. [`class TerminateOnNaN`](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/TerminateOnNaN): Callback that terminates training when a NaN loss is encountered.