CELU< InputDataType, OutputDataType > Class Template Reference

The CELU activation function, defined by. More...

Public Member Functions
	CELU (const double alpha=1.0)
	Create the CELU object using the specified parameter. More...
double const &	Alpha () const
	Get the non zero gradient. More...
double &	Alpha ()
	Modify the non zero gradient. More...
template<typename DataType >
void	Backward (const DataType &input, const DataType &gy, DataType &g)
	Ordinary feed backward pass of a neural network, 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 deterministic parameter. More...
bool &	Deterministic ()
	Modify the value of deterministic parameter. More...
template<typename InputType , typename OutputType >
void	Forward (const 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::CELU< InputDataType, OutputDataType >

The CELU activation function, defined by.

In the deterministic mode, there is no computation of the derivative.

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 60 of file celu.hpp.

Constructor & Destructor Documentation

CELU

(

const double

alpha = 1.0

)

Create the CELU object using the specified parameter.

The non zero gradient for negative inputs can be adjusted by specifying the CELU hyperparameter alpha (alpha > 0).

Parameters

alpha

Scale parameter for the negative factor (default = 1.0).

Member Function Documentation

double const& Alpha ( ) const

inline

Get the non zero gradient.

Definition at line 105 of file celu.hpp.

double& Alpha ( )

inline

Modify the non zero gradient.

Definition at line 107 of file celu.hpp.

void Backward	(	const DataType &	input,
		const DataType &	gy,
		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 f(x).
gy	The backpropagated error.
g	The calculated gradient.

OutputDataType const& Delta ( ) const

inline

Get the delta.

Definition at line 100 of file celu.hpp.

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 102 of file celu.hpp.

bool Deterministic ( ) const

inline

Get the value of deterministic parameter.

Definition at line 110 of file celu.hpp.

bool& Deterministic ( )

inline

Modify the value of deterministic parameter.

Definition at line 112 of file celu.hpp.

void Forward	(	const InputType &	input,
		OutputType &	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.

OutputDataType const& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 95 of file celu.hpp.

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 97 of file celu.hpp.

void serialize	(	Archive &	ar,
		const unsigned	int
	)

Serialize the layer.

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

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