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.
Classes
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.
Functions
deserialize(...): Returns a Keras optimizer object via its configuration.
get(...): Retrieves a Keras Optimizer instance.
serialize(...): Returns the optimizer configuration as a Python dict.