Modules
experimental module
legacy module
schedules module
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 Nadam: Optimizer that implements the Nadam algorithm.
class Optimizer: Abstract optimizer base class.
class RMSprop: Optimizer that implements the RMSprop algorithm.
class SGD: Gradient descent (with momentum) optimizer.
Functions
deserialize(...): Inverse of the serialize function.
get(...): Retrieves a Keras Optimizer instance.
serialize(...): Serialize the optimizer configuration to JSON compatible python dict.