Subview< InputDataType, OutputDataType > Class Template Reference

Implementation of the subview layer. More...

Public Member Functions
	Subview (const size_t inSize=1, const size_t beginRow=0, const size_t endRow=0, const size_t beginCol=0, const size_t endCol=0)
	Create the Subview layer object using the specified range of input to accept. More...
template<typename eT >
void	Backward (arma::Mat< eT > &&, 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 InputType , typename OutputType >
void	Forward (InputType &&input, OutputType &&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::Subview< InputDataType, OutputDataType >

Implementation of the subview layer.

The subview layer modifies the input to a submatrix of required size.

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 34 of file subview.hpp.

Constructor & Destructor Documentation

Subview ( const size_t  inSize = 1, const size_t  beginRow = 0, const size_t  endRow = 0, const size_t  beginCol = 0, const size_t  endCol = 0  )

inline

Create the Subview layer object using the specified range of input to accept.

Parameters

inSize	Width of sample.
beginRow	Starting row index.
endRow	Ending row index.
beginCol	Starting column index.
endCol	Ending column index.

Definition at line 47 of file subview.hpp.

Member Function Documentation

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

inline

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.

Definition at line 115 of file subview.hpp.

OutputDataType const& Delta ( ) const

inline

Get the delta.

Definition at line 128 of file subview.hpp.

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 130 of file subview.hpp.

void Forward ( InputType &&  input, OutputType &&  output  )

inline

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.

Definition at line 69 of file subview.hpp.

OutputDataType const& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 123 of file subview.hpp.

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 125 of file subview.hpp.

void serialize ( Archive &  ar, const unsigned  int  )

inline

Serialize the layer.

Definition at line 136 of file subview.hpp.

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

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