org.tensorflow.framework.optimizers
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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. |
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Last updated 2021-11-29 UTC.
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