Module: tf.keras.optimizers

Built-in optimizer classes.

For more examples see the base class tf.keras.optimizers.Optimizer.

Modules

experimental module: Public API for tf.keras.optimizers.experimental namespace.

legacy module: Public API for tf.keras.optimizers.legacy namespace.

schedules module: Public API for tf.keras.optimizers.schedules namespace.

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.

Functions

deserialize(...): Inverse of the serialize function.

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

serialize(...): Serialize the optimizer configuration to JSON compatible python dict.