Module: tf.keras.optimizers

Stay organized with collections Save and categorize content based on your preferences.

DO NOT EDIT.

This file was autogenerated. Do not edit it by hand, since your modifications would be overwritten.

Modules

legacy module: DO NOT EDIT.

schedules module: DO NOT EDIT.

class Adadelta: Optimizer that implements the Adadelta algorithm.

class Adafactor: Optimizer that implements the Adafactor algorithm.

class Adagrad: Optimizer that implements the Adagrad algorithm.

class Adam: Optimizer that implements the Adam algorithm.

class AdamW: Optimizer that implements the AdamW algorithm.

class Adamax: Optimizer that implements the Adamax algorithm.

class Ftrl: Optimizer that implements the FTRL algorithm.

class Lion: Optimizer that implements the Lion algorithm.

class LossScaleOptimizer: An optimizer that dynamically scales the loss to prevent underflow.

class Nadam: Optimizer that implements the Nadam algorithm.

class Optimizer: A class for Tensorflow specific optimizer logic.

class RMSprop: Optimizer that implements the RMSprop algorithm.

class SGD: Gradient descent (with momentum) optimizer.

deserialize(...): Returns a Keras optimizer object via its configuration.

get(...): Retrieves a Keras Optimizer instance.

serialize(...): Returns the optimizer configuration as a Python dict.