Module: tf.contrib.optimizer_v2

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.