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. |