#include <mlpack/prereqs.hpp>
#include "random_init.hpp"
#include "gaussian_init.hpp"

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Classes
class	mlpack::ann::GlorotInitializationType< Uniform >
	This class is used to initialize the weight matrix with the Glorot Initialization method. More...

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

	mlpack::ann
	Artificial Neural Network.

Typedefs
using	mlpack::ann::XavierInitialization = GlorotInitializationType< true >
	XavierInitilization is the popular name for this method.

using	mlpack::ann::GlorotInitialization = GlorotInitializationType< false >
	GlorotInitialization uses uniform distribution.

Detailed Description

Author: Prabhat Sharma

Definition and implementation of the Glorot initialization method. This initialization rule initialize the weights to maintain activation variances and back-propagated gradients variance as one moves up or down the network.

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.

Classes

Namespaces

Typedefs

Detailed Description