adam.hpp File Reference

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Classes
class	mlpack::optimization::Adam< DecomposableFunctionType >
	Adam is an optimizer that computes individual adaptive learning rates for different parameters from estimates of first and second moments of the gradients. More...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::optimization

Detailed Description

Author

Ryan Curtin

Vasanth Kalingeri

Marcus Edel

Adam optimizer. Adam is an an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file adam.hpp.