TensorFlow 1 version |
Callbacks: utilities called at certain points during model training.
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 EarlyStopping
: Stop training when a monitored quantity 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
: Save the model after every epoch.
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.