Implementation of the concat performance class. More...

Public Member Functions
	ConcatPerformance (const size_t inSize, OutputLayerType &&outputLayer=OutputLayerType())
	Create the ConcatPerformance object. More...

template<typename eT >
void	Backward (const arma::Mat< eT > &&input, const arma::Mat< eT > &&target, arma::Mat< eT > &&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 eT >
double	Forward (const arma::Mat< eT > &&input, arma::Mat< eT > &&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...

Private Attributes
OutputDataType	delta
	Locally-stored delta object. More...

InputDataType	inputParameter
	Locally-stored input parameter object. More...

size_t	inSize
	Locally-stored number of inputs. More...

OutputLayerType	outputLayer
	Instantiated outputlayer used to evaluate the network. More...

OutputDataType	outputParameter
	Locally-stored output parameter object. More...

Detailed Description

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

Implementation of the concat performance class.

The class works as a feed-forward fully connected network container which plugs performance layers together.

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 39 of file concat_performance.hpp.

Constructor & Destructor Documentation

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::ConcatPerformance	(	const size_t	inSize,
		OutputLayerType &&	outputLayer = `OutputLayerType()`
	)

Create the ConcatPerformance object.

Parameters

inSize	The number of inputs.
outputLayer	Output layer used to evaluate the network.

Member Function Documentation

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

template<typename eT >

void mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Backward	(	const arma::Mat< eT > &&	input,
		const arma::Mat< eT > &&	target,
		arma::Mat< eT > &&	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.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Delta ( ) const

inline

Get the delta.

Definition at line 86 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::delta.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Delta ( )

inline

Modify the delta.

Definition at line 88 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::delta, and mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Serialize().

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

template<typename eT >

double mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Forward	(	const arma::Mat< eT > &&	input,
		arma::Mat< eT > &&	target
	)

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

InputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::InputParameter ( ) const

inline

Get the input parameter.

Definition at line 76 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::inputParameter.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

InputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::InputParameter ( )

inline

Modify the input parameter.

Definition at line 78 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::inputParameter.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 81 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::outputParameter.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType& mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::OutputParameter ( )

inline

Modify the output parameter.

Definition at line 83 of file concat_performance.hpp.

References mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::outputParameter.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

template<typename Archive >

void mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Serialize	(	Archive &	,
		const unsigned	int
	)

Serialize the layer.

Referenced by mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Delta().

Member Data Documentation

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::delta

private

Locally-stored delta object.

Definition at line 104 of file concat_performance.hpp.

Referenced by mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::Delta().

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

InputDataType mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::inputParameter

private

Locally-stored input parameter object.

Definition at line 107 of file concat_performance.hpp.

Referenced by mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::InputParameter().

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

size_t mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::inSize

private

Locally-stored number of inputs.

Definition at line 98 of file concat_performance.hpp.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputLayerType mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::outputLayer

private

Instantiated outputlayer used to evaluate the network.

Definition at line 101 of file concat_performance.hpp.

template<typename OutputLayerType = NegativeLogLikelihood<>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>

OutputDataType mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::outputParameter

private

Locally-stored output parameter object.

Definition at line 110 of file concat_performance.hpp.

Referenced by mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >::OutputParameter().

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

src/mlpack/methods/ann/layer/concat_performance.hpp

Public Member Functions

Private Attributes

Detailed Description

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

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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