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.