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 Adagrad: Optimizer that implements the Adagrad algorithm.
class Adam: Optimizer that implements the Adam 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.