Padding< InputDataType, OutputDataType > Class Template Reference

Implementation of the Padding module class. More...

Public Member Functions
	Padding (const size_t padWLeft=0, const size_t padWRight=0, const size_t padHTop=0, const size_t padHBottom=0)
	Create the Padding object using the specified number of output units. More...
template < typename eT >
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 &	Delta () const
	Get the delta. More...
OutputDataType &	Delta ()
	Modify the delta. More...
template < typename eT >
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...
template < typename Archive >
void	serialize (Archive &ar, const unsigned int)
	Serialize the layer. More...

Detailed Description

template

<

typename

InputDataType

=

arma::mat

,

typename

OutputDataType

=

arma::mat

>

class mlpack::ann::Padding< InputDataType, OutputDataType >

Implementation of the Padding module class.

The Padding module applies a bias term to the incoming data.

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 68 of file layer_types.hpp.

Constructor & Destructor Documentation

Padding()

Padding	(	const size_t	padWLeft = 0,
		const size_t	padWRight = 0,
		const size_t	padHTop = 0,
		const size_t	padHBottom = 0
	)

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

Parameters

padWLeft	Left padding width of the input.
padWLeft	Right padding width of the input.
padHTop	Top padding height of the input.
padHBottom	Bottom padding height of the input.

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.

Delta() [1/2]

OutputDataType const& Delta ( ) const

inline

Get the delta.

Definition at line 80 of file padding.hpp.

Delta() [2/2]

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 82 of file padding.hpp.

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

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 75 of file padding.hpp.

OutputParameter() [2/2]

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 77 of file padding.hpp.

serialize()

void serialize	(	Archive &	ar,
		const unsigned	int
	)

Serialize the layer.

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

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

• /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.2.1/src/mlpack/methods/ann/layer/layer_types.hpp
• /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.2.1/src/mlpack/methods/ann/layer/padding.hpp