Module: contrib.opt

Module: tf.contrib.opt

Module tf.contrib.opt

Defined in tensorflow/contrib/opt/__init__.py.

A module containing optimization routines.

Classes

class DropStaleGradientOptimizer: Wrapper optimizer that checks and drops stale gradient.

class ExternalOptimizerInterface: Base class for interfaces with external optimization algorithms.

class LazyAdamOptimizer: Variant of the Adam optimizer that handles sparse updates more efficiently.

class MovingAverageOptimizer: Optimizer that computes a moving average of the variables.

class NadamOptimizer: Optimizer that implements the Nadam algorithm.

class ScipyOptimizerInterface: Wrapper allowing scipy.optimize.minimize to operate a tf.Session.

class VariableClippingOptimizer: Wrapper optimizer that clips the norm of specified variables after update.