Module: tf.keras.optimizers.experimental

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 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.