mlpack::ann::GaussianInitialization Class Reference

This class is used to initialize weigth matrix with a gaussian. More...

#include <gaussian_init.hpp>

Public Member Functions
	GaussianInitialization (const double mean=0, const double variance=1)
	Initialize the gaussian with the given mean and variance. More...
template<typename eT >
void	Initialize (arma::Mat< eT > &W, const size_t rows, const size_t cols)
	Initialize the elements weight matrix using a Gaussian Distribution. More...
template<typename eT >
void	Initialize (arma::Mat< eT > &W)
	Initialize the elements weight matrix using a Gaussian Distribution. More...
template<typename eT >
void	Initialize (arma::Cube< eT > &W, const size_t rows, const size_t cols, const size_t slices)
	Initialize randomly the elements of the specified weight 3rd order tensor. More...
template<typename eT >
void	Initialize (arma::Cube< eT > &W)
	Initialize randomly the elements of the specified weight 3rd order tensor. More...

Detailed Description

This class is used to initialize weigth matrix with a gaussian.

Constructor & Destructor Documentation

GaussianInitialization()

mlpack::ann::GaussianInitialization::GaussianInitialization ( const double  mean = 0, const double  variance = 1  )

inline

Initialize the gaussian with the given mean and variance.

Parameters

mean	Mean of the gaussian.
variance	Variance of the gaussian.

Member Function Documentation

Initialize() [1/4]

template<typename eT >

void mlpack::ann::GaussianInitialization::Initialize ( arma::Mat< eT > &  W, const size_t  rows, const size_t  cols  )

inline

Initialize the elements weight matrix using a Gaussian Distribution.

Parameters

W	Weight matrix to initialize.
rows	Number of rows.
cols	Number of columns.

Initialize() [2/4]

template<typename eT >

void mlpack::ann::GaussianInitialization::Initialize ( arma::Mat< eT > &  W )

inline

Initialize the elements weight matrix using a Gaussian Distribution.

Parameters

W	Weight matrix to initialize.

Initialize() [3/4]

template<typename eT >

void mlpack::ann::GaussianInitialization::Initialize ( arma::Cube< eT > &  W, const size_t  rows, const size_t  cols, const size_t  slices  )

inline

Initialize randomly the elements of the specified weight 3rd order tensor.

Parameters

W	Weight matrix to initialize.
rows	Number of rows.
cols	Number of columns.
slices	Number of slices.

Initialize() [4/4]

template<typename eT >

void mlpack::ann::GaussianInitialization::Initialize ( arma::Cube< eT > &  W )

inline

Initialize randomly the elements of the specified weight 3rd order tensor.

Parameters

W	Weight matrix to initialize.

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The documentation for this class was generated from the following file:

• src/mlpack/methods/ann/init_rules/gaussian_init.hpp