mlpack::ann::RandomInitialization Class Reference

This class is used to initialize randomly the weight matrix. More...

#include <random_init.hpp>

Public Member Functions
	RandomInitialization (const double lowerBound=-1, const double upperBound=1)
	Initialize the random initialization rule with the given lower bound and upper bound. More...
	RandomInitialization (const double bound)
	Initialize the random initialization rule with the given bound. More...
template<typename eT >
void	Initialize (arma::Mat< eT > &W, const size_t rows, const size_t cols)
	Initialize randomly the elements of the specified weight matrix. More...
template<typename eT >
void	Initialize (arma::Mat< eT > &W)
	Initialize randomly the elements of the specified weight matrix. 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 randomly the weight matrix.

Constructor & Destructor Documentation

RandomInitialization() [1/2]

mlpack::ann::RandomInitialization::RandomInitialization ( const double  lowerBound = -1, const double  upperBound = 1  )

inline

Initialize the random initialization rule with the given lower bound and upper bound.

Parameters

lowerBound	The number used as lower bound.
upperBound	The number used as upper bound.

RandomInitialization() [2/2]

mlpack::ann::RandomInitialization::RandomInitialization ( const double  bound )

inline

Initialize the random initialization rule with the given bound.

Using the negative of the bound as lower bound and the positive bound as upper bound.

Parameters

bound

The number used as lower bound

Member Function Documentation

Initialize() [1/4]

template<typename eT >

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

inline

Initialize randomly the elements of the specified weight matrix.

Parameters

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

Initialize() [2/4]

template<typename eT >

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

inline

Initialize randomly the elements of the specified weight matrix.

Parameters

W	Weight matrix to initialize.

Initialize() [3/4]

template<typename eT >

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

inline

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

Parameters

W	Weight matrix to initialize.

---

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

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