MeanPooling< InputDataType, OutputDataType > Class Template Reference

Implementation of the MeanPooling. More...

Public Member Functions

 MeanPooling ()
 Create the MeanPooling object. More...

 
 MeanPooling (const size_t kW, const size_t kH, const size_t dW=1, const size_t dH=1, const bool floor=true)
 Create the MeanPooling object using the specified number of units. More...

 
template
<
typename
eT
>
void Backward (const arma::Mat< eT > &&, arma::Mat< eT > &&gy, arma::Mat< eT > &&g)
 Ordinary feed backward pass of a neural network, using 3rd-order tensors as input, calculating the function f(x) by propagating x backwards through f. More...

 
OutputDataType const & Delta () const
 Get the delta. More...

 
OutputDataType & Delta ()
 Modify the delta. More...

 
bool Deterministic () const
 Get the value of the deterministic parameter. More...

 
bool & Deterministic ()
 Modify the value of the deterministic parameter. 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...

 
size_t const & InputHeight () const
 Get the height. More...

 
size_t & InputHeight ()
 Modify the height. More...

 
size_t const & InputWidth () const
 Get the width. More...

 
size_t & InputWidth ()
 Modify the width. More...

 
size_t const & OutputHeight () const
 Get the height. More...

 
size_t & OutputHeight ()
 Modify the height. More...

 
OutputDataType const & OutputParameter () const
 Get the output parameter. More...

 
OutputDataType & OutputParameter ()
 Modify the output parameter. More...

 
size_t const & OutputWidth () const
 Get the width. More...

 
size_t & OutputWidth ()
 Modify the width. 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::MeanPooling< InputDataType, OutputDataType >

Implementation of the MeanPooling.

Template Parameters
InputDataTypeType of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
OutputDataTypeType of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).

Definition at line 33 of file mean_pooling.hpp.

Constructor & Destructor Documentation

◆ MeanPooling() [1/2]

Create the MeanPooling object.

◆ MeanPooling() [2/2]

MeanPooling ( const size_t  kW,
const size_t  kH,
const size_t  dW = 1,
const size_t  dH = 1,
const bool  floor = true 
)

Create the MeanPooling object using the specified number of units.

Parameters
kWWidth of the pooling window.
kHHeight of the pooling window.
dWWidth of the stride operation.
dHWidth of the stride operation.

Member Function Documentation

◆ Backward()

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

Ordinary feed backward pass of a neural network, using 3rd-order tensors as input, calculating the function f(x) by propagating x backwards through f.

Using the results from the feed forward pass.

Parameters
inputThe propagated input activation.
gyThe backpropagated error.
gThe calculated gradient.

◆ Delta() [1/2]

OutputDataType const& Delta ( ) const
inline

Get the delta.

Definition at line 83 of file mean_pooling.hpp.

◆ Delta() [2/2]

OutputDataType& Delta ( )
inline

Modify the delta.

Definition at line 85 of file mean_pooling.hpp.

◆ Deterministic() [1/2]

bool Deterministic ( ) const
inline

Get the value of the deterministic parameter.

Definition at line 108 of file mean_pooling.hpp.

◆ Deterministic() [2/2]

bool& Deterministic ( )
inline

Modify the value of the deterministic parameter.

Definition at line 110 of file mean_pooling.hpp.

References MeanPooling< 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
inputInput data used for evaluating the specified function.
outputResulting output activation.

◆ InputHeight() [1/2]

size_t const& InputHeight ( ) const
inline

Get the height.

Definition at line 93 of file mean_pooling.hpp.

◆ InputHeight() [2/2]

size_t& InputHeight ( )
inline

Modify the height.

Definition at line 95 of file mean_pooling.hpp.

◆ InputWidth() [1/2]

size_t const& InputWidth ( ) const
inline

Get the width.

Definition at line 88 of file mean_pooling.hpp.

◆ InputWidth() [2/2]

size_t& InputWidth ( )
inline

Modify the width.

Definition at line 90 of file mean_pooling.hpp.

◆ OutputHeight() [1/2]

size_t const& OutputHeight ( ) const
inline

Get the height.

Definition at line 103 of file mean_pooling.hpp.

◆ OutputHeight() [2/2]

size_t& OutputHeight ( )
inline

Modify the height.

Definition at line 105 of file mean_pooling.hpp.

◆ OutputParameter() [1/2]

OutputDataType const& OutputParameter ( ) const
inline

Get the output parameter.

Definition at line 78 of file mean_pooling.hpp.

◆ OutputParameter() [2/2]

OutputDataType& OutputParameter ( )
inline

Modify the output parameter.

Definition at line 80 of file mean_pooling.hpp.

◆ OutputWidth() [1/2]

size_t const& OutputWidth ( ) const
inline

Get the width.

Definition at line 98 of file mean_pooling.hpp.

◆ OutputWidth() [2/2]

size_t& OutputWidth ( )
inline

Modify the width.

Definition at line 100 of file mean_pooling.hpp.

◆ serialize()

void serialize ( Archive &  ar,
const unsigned  int 
)

The documentation for this class was generated from the following file:
  • /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.2.1/src/mlpack/methods/ann/layer/mean_pooling.hpp