NegativeLogLikelihood< InputDataType, OutputDataType > Class Template Reference

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)
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()

NegativeLogLikelihood

(

)

Create the NegativeLogLikelihoodLayer object.

Member Function Documentation

Backward()

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

Ordinary feed backward pass of a neural network.

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.

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.

Delta() [1/2]

OutputDataType& Delta ( ) const

inline

Get the delta.

Definition at line 79 of file negative_log_likelihood.hpp.

Delta() [2/2]

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 81 of file negative_log_likelihood.hpp.

References NegativeLogLikelihood< InputDataType, OutputDataType >::serialize().

Forward()

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

InputParameter() [1/2]

InputDataType& InputParameter ( ) const

inline

Get the input parameter.

Definition at line 69 of file negative_log_likelihood.hpp.

InputParameter() [2/2]

InputDataType& InputParameter ( )

inline

Modify the input parameter.

Definition at line 71 of file negative_log_likelihood.hpp.

OutputParameter() [1/2]

OutputDataType& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 74 of file negative_log_likelihood.hpp.

OutputParameter() [2/2]

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 76 of file negative_log_likelihood.hpp.

serialize()

void serialize	(	Archive &	,
		const unsigned	int
	)

Serialize the layer.

Referenced by NegativeLogLikelihood< InputDataType, OutputDataType >::Delta().

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

• src/mlpack/methods/ann/layer/negative_log_likelihood.hpp