adam_update.hpp File Reference
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Classes | |
| class | AdamUpdate |
| Adam is an optimizer that computes individual adaptive learning rates for different parameters from estimates of first and second moments of the gradients as given in the section 7 of the following paper. More... | |
Namespaces | |
| mlpack | |
.hpp | |
| mlpack::optimization | |
Detailed Description
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_update.hpp.