Implementation of the reinforce normal layer. More...

Public Member Functions
	ReinforceNormal (const double stdev)
	Create the ReinforceNormal object. More...

template<typename DataType >
void	Backward (const DataType &&input, DataType &&, DataType &&g)
	Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards through f. More...

OutputDataType &	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...

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...

double	Reward () const
	Get the value of the reward parameter. More...

double &	Reward ()
	Modify the value of the deterministic parameter. More...

template<typename Archive >
void	Serialize (Archive &, const unsigned int)
	Serialize the layer. More...

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

bool	deterministic
	If true use maximum a posteriori during the forward pass. More...

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

std::vector< arma::mat >	moduleInputParameter
	Locally-stored output module parameter parameters. More...

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

double	reward
	Locally-stored reward parameter. More...

const double	stdev
	Standard deviation used during the forward and backward pass. More...

Detailed Description

template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
class mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >

Implementation of the reinforce normal layer.

The reinforce normal layer implements the REINFORCE algorithm for the normal distribution.

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 29 of file reinforce_normal.hpp.

Constructor & Destructor Documentation

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

mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::ReinforceNormal ( const double stdev )

Create the ReinforceNormal object.

Parameters

stdev Standard deviation used during the forward and backward pass.

Member Function Documentation

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

template<typename DataType >

void mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Backward	(	const DataType &&	input,
		DataType &&	,
		DataType &&	g
	)

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

Using the results from the feed forward pass.

Parameters

input	The propagated input activation.
gy	The backpropagated error.
g	The calculated gradient.

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

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

inline

Get the delta.

Definition at line 72 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::delta.

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

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

inline

Modify the delta.

Definition at line 74 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::delta.

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

bool mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Deterministic ( ) const

inline

Get the value of the deterministic parameter.

Definition at line 77 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::deterministic.

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

bool& mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Deterministic ( )

inline

Modify the value of the deterministic parameter.

Definition at line 79 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::deterministic.

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

template<typename eT >

void mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::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.

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

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

inline

Get the input parameter.

Definition at line 62 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::inputParameter.

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

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

inline

Modify the input parameter.

Definition at line 64 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::inputParameter.

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

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

inline

Get the output parameter.

Definition at line 67 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::outputParameter.

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

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

inline

Modify the output parameter.

Definition at line 69 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::outputParameter.

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

double mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Reward ( ) const

inline

Get the value of the reward parameter.

Definition at line 82 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::reward.

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

double& mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Reward ( )

inline

Modify the value of the deterministic parameter.

Definition at line 84 of file reinforce_normal.hpp.

References mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::reward, and mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Serialize().

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

template<typename Archive >

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

Serialize the layer.

Referenced by mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Reward().

Member Data Documentation

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

OutputDataType mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::delta

private

Locally-stored delta object.

Definition at line 100 of file reinforce_normal.hpp.

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

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

bool mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::deterministic

private

If true use maximum a posteriori during the forward pass.

Definition at line 112 of file reinforce_normal.hpp.

Referenced by mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Deterministic().

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

InputDataType mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::inputParameter

private

Locally-stored input parameter object.

Definition at line 103 of file reinforce_normal.hpp.

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

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

std::vector<arma::mat> mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::moduleInputParameter

private

Locally-stored output module parameter parameters.

Definition at line 109 of file reinforce_normal.hpp.

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

OutputDataType mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::outputParameter

private

Locally-stored output parameter object.

Definition at line 106 of file reinforce_normal.hpp.

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

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

double mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::reward

private

Locally-stored reward parameter.

Definition at line 97 of file reinforce_normal.hpp.

Referenced by mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::Reward().

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

const double mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >::stdev

private

Standard deviation used during the forward and backward pass.

Definition at line 94 of file reinforce_normal.hpp.

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

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

Public Member Functions

Private Attributes

Detailed Description

template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat> class mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
class mlpack::ann::ReinforceNormal< InputDataType, OutputDataType >