OivsInitialization< ActivationFunction > Class Template Reference

This class is used to initialize the weight matrix with the oivs method. More...

Public Member Functions
	OivsInitialization (const double epsilon=0.1, const int k=5, const double gamma=0.9)
	Initialize the random initialization rule with the given values. More...
template < typename eT >
void	Initialize (arma::Mat< eT > &W, const size_t rows, const size_t cols)
	Initialize the elements of the specified weight matrix with the oivs method. More...
template < typename eT >
void	Initialize (arma::Mat< eT > &W)
	Initialize the elements of the specified weight matrix with the oivs method. More...
template < typename eT >
void	Initialize (arma::Cube< eT > &W, const size_t rows, const size_t cols, const size_t slices)
	Initialize the elements of the specified weight 3rd order tensor with the oivs method. More...
template < typename eT >
void	Initialize (arma::Cube< eT > &W)
	Initialize the elements of the specified weight 3rd order tensor with the oivs method. More...

Detailed Description

template

<

class

ActivationFunction

=

LogisticFunction

>

class mlpack::ann::OivsInitialization< ActivationFunction >

This class is used to initialize the weight matrix with the oivs method.

The method is based on the equations representing the characteristics of the information transformation mechanism of a node. The method is defined by

Where f is the transfer function epsilon, k custom parameters, n the number of neurons in the outgoing layer and gamma a parameter that defines the random interval.

Template Parameters

ActivationFunction

The activation function used for the oivs method.

Definition at line 59 of file oivs_init.hpp.

Constructor & Destructor Documentation

OivsInitialization()

OivsInitialization ( const double  epsilon = 0.1, const int  k = 5, const double  gamma = 0.9  )

inline

Initialize the random initialization rule with the given values.

Parameters

epsilon	Parameter to control the activation region.
k	Parameter to control the activation region width.
gamma	Parameter to define the uniform random range.

Definition at line 69 of file oivs_init.hpp.

Member Function Documentation

Initialize() [1/4]

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

inline

Initialize the elements of the specified weight matrix with the oivs method.

Parameters

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

Definition at line 86 of file oivs_init.hpp.

References RandomInitialization::Initialize().

Referenced by OivsInitialization< ActivationFunction >::Initialize().

Initialize() [2/4]

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

inline

Initialize the elements of the specified weight matrix with the oivs method.

Parameters

W	Weight matrix to initialize.

Definition at line 100 of file oivs_init.hpp.

References RandomInitialization::Initialize().

Initialize() [3/4]

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

inline

Initialize the elements of the specified weight 3rd order tensor with the oivs method.

Parameters

W	3rd order tensor to initialize.
rows	Number of rows.
cols	Number of columns.
slices	Number of slices.

Definition at line 118 of file oivs_init.hpp.

References OivsInitialization< ActivationFunction >::Initialize().

Initialize() [4/4]

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

inline

Initialize the elements of the specified weight 3rd order tensor with the oivs method.

Parameters

W	3rd order tensor to initialize.

Definition at line 137 of file oivs_init.hpp.

References Log::Fatal, and OivsInitialization< ActivationFunction >::Initialize().

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/init_rules/oivs_init.hpp