Implementation of the negative log likelihood layer. More...

Public Member Functions
	NegativeLogLikelihood ()
	Create the NegativeLogLikelihoodLayer object. More...

template<typename InputType , typename TargetType , typename OutputType >
void	Backward (const InputType &&input, const TargetType &&target, OutputType &&output)
	Ordinary feed backward pass of a neural network. More...

OutputDataType &	Delta () const
	Get the delta. More...

OutputDataType &	Delta ()
	Modify the delta. More...

template<typename InputType , typename TargetType >
double	Forward (const InputType &&input, TargetType &&target)
	Computes the Negative log likelihood. More...

InputDataType &	InputParameter () const
	Get the input parameter. More...

InputDataType &	InputParameter ()
	Modify the input parameter. More...

OutputDataType &	OutputParameter () const
	Get the output parameter. More...

OutputDataType &	OutputParameter ()
	Modify the output parameter. More...

template<typename Archive >
void	serialize (Archive &, const unsigned int)
	Serialize the layer. More...

Detailed Description

template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
class mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType >

Implementation of the negative log likelihood layer.

The negative log likelihood layer expectes that the input contains log-probabilities for each class. The layer also expects a class index, in the range between 1 and the number of classes, as target when calling the Forward function.

Template Parameters

InputDataType	Type of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
OutputDataType	Type of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).

Definition at line 35 of file negative_log_likelihood.hpp.

Constructor & Destructor Documentation

NegativeLogLikelihood ( )

Create the NegativeLogLikelihoodLayer object.

Member Function Documentation

void Backward	(	const InputType &&	input,
		const TargetType &&	target,
		OutputType &&	output
	)

Ordinary feed backward pass of a neural network.

The negative log likelihood layer expects that the input contains log-probabilities for each class. The layer also expects a class index, in the range between 1 and the number of classes, as target when calling the Forward function.

Parameters

input	The propagated input activation.
target	The target vector, that contains the class index in the range between 1 and the number of classes.
output	The calculated error.

OutputDataType& Delta ( ) const

inline

Get the delta.

Definition at line 80 of file negative_log_likelihood.hpp.

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 82 of file negative_log_likelihood.hpp.

double Forward	(	const InputType &&	input,
		TargetType &&	target
	)

Computes the Negative log likelihood.

Parameters

input	Input data used for evaluating the specified function.
target	The target vector, that contains the class index in the range between 1 and the number of classes.

InputDataType& InputParameter ( ) const

inline

Get the input parameter.

Definition at line 70 of file negative_log_likelihood.hpp.

InputDataType& InputParameter ( )

inline

Modify the input parameter.

Definition at line 72 of file negative_log_likelihood.hpp.

OutputDataType& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 75 of file negative_log_likelihood.hpp.