Concatenate< InputDataType, OutputDataType > Class Template Reference

Implementation of the Concatenate module class. More...

Public Member Functions
	Concatenate ()
	Create the Concatenate object using the specified number of output units. More...
template
void	Backward (const arma::Mat< eT > &, const arma::Mat< eT > &gy, arma::Mat< eT > &g)
	Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. More...
OutputDataType const &	Concat () const
	Get the concat matrix. More...
OutputDataType &	Concat ()
	Modify the delta. More...
OutputDataType const &	Delta () const
	Get the delta. More...
OutputDataType &	Delta ()
	Modify the delta. More...
template
void	Forward (const arma::Mat< eT > &input, arma::Mat< eT > &output)
	Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. More...
OutputDataType const &	OutputParameter () const
	Get the output parameter. More...
OutputDataType &	OutputParameter ()
	Modify the output parameter. More...
OutputDataType const &	Parameters () const
	Get the parameters. More...
OutputDataType &	Parameters ()
	Modify the parameters. More...
template
void	serialize (Archive &, const unsigned int)
	Serialize the layer. More...

Detailed Description

template
class mlpack::ann::Concatenate< InputDataType, OutputDataType >

Implementation of the Concatenate module class.

The Concatenate module concatenates a constant given matrix to the incoming data. Note: Users need to use the Concat() function to provide the concat matrix.

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 36 of file concatenate.hpp.

Constructor & Destructor Documentation

Concatenate()

Concatenate

(

)

Create the Concatenate object using the specified number of output units.

Member Function Documentation

Backward()

void Backward	(	const arma::Mat< eT > &	,
		const arma::Mat< eT > &	gy,
		arma::Mat< eT > &	g
	)

Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f.

Using the results from the feed forward pass.

Parameters

*	(input) The propagated input activation.
gy	The backpropagated error.
g	The calculated gradient.

Concat() [1/2]

OutputDataType const& Concat ( ) const

inline

Get the concat matrix.

Definition at line 84 of file concatenate.hpp.

Concat() [2/2]

OutputDataType& Concat ( )

inline

Modify the delta.

Definition at line 86 of file concatenate.hpp.

Delta() [1/2]

OutputDataType const& Delta ( ) const

inline

Get the delta.

Definition at line 79 of file concatenate.hpp.

Delta() [2/2]

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 81 of file concatenate.hpp.

Forward()

void Forward	(	const arma::Mat< eT > &	input,
		arma::Mat< eT > &	output
	)

Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f.

Parameters

input	Input data used for evaluating the specified function.
output	Resulting output activation.

OutputParameter() [1/2]

OutputDataType const& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 74 of file concatenate.hpp.

OutputParameter() [2/2]

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 76 of file concatenate.hpp.

Parameters() [1/2]

OutputDataType const& Parameters ( ) const

inline

Get the parameters.

Definition at line 69 of file concatenate.hpp.

Parameters() [2/2]

OutputDataType& Parameters ( )

inline

Modify the parameters.

Definition at line 71 of file concatenate.hpp.

serialize()

void serialize ( Archive &  , const unsigned  int  )

inline

Serialize the layer.

Definition at line 92 of file concatenate.hpp.

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

• /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.4.2/src/mlpack/methods/ann/layer/concatenate.hpp