ada_grad.hpp File Reference
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Classes

class  AdaGrad
 AdaGrad is a modified version of stochastic gradient descent which performs larger updates for more sparse parameters and smaller updates for less sparse parameters. More...

 

Namespaces

 mlpack
 
.hpp
 
 mlpack::optimization
 

Detailed Description

Author
Abhinav Moudgil

Implementation of the AdaGrad optimizer. AdaGrad is an optimizer that chooses learning rate dynamically by adapting to the data. Hence AdaGrad eliminates the need to manually tune the learning rate.

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 ada_grad.hpp.