org.tensorflow.framework.optimizers

Classes

AdaDelta Optimizer that implements the Adadelta algorithm.
AdaGrad Optimizer that implements the Adagrad algorithm.
AdaGradDA Optimizer that implements the Adagrad Dual-Averaging algorithm.
Adam Optimizer that implements the Adam algorithm.
Adamax Optimizer that implements the Adamax algorithm.
Ftrl Optimizer that implements the FTRL algorithm.
GradientDescent Basic Stochastic gradient descent optimizer.
Momentum Stochastic gradient descent plus momentum, either nesterov or traditional.
Nadam Nadam Optimizer that implements the NAdam algorithm.
Optimizer Base class for gradient optimizers.
Optimizer.GradAndVar <T extends TType > A class that holds a paired gradient and variable.
Optimizer.Options Optional attributes for Optimizer
RMSProp Optimizer that implements the RMSProp algorithm.

Enums

Optimizers Enumerator used to create a new Optimizer with default parameters.