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Module: tf.contrib.optimizer_v2

Defined in tensorflow/contrib/optimizer_v2/optimizer_v2_symbols.py.

Distribution-aware version of Optimizer.

Classes

class AdadeltaOptimizer: Optimizer that implements the Adadelta algorithm.

class AdagradOptimizer: Optimizer that implements the Adagrad algorithm.

class AdamOptimizer: Optimizer that implements the Adam algorithm.

class GradientDescentOptimizer: Optimizer that implements the gradient descent algorithm.

class MomentumOptimizer: Optimizer that implements the Momentum algorithm.

class OptimizerV2: Updated base class for optimizers.

class RMSPropOptimizer: Optimizer that implements the RMSProp algorithm.