AlphaDropout< InputDataType, OutputDataType > Class Template Reference

The alpha - dropout layer is a regularizer that randomly with probability 'ratio' sets input values to alphaDash. More...

Public Member Functions
	AlphaDropout (const double ratio=0.5, const double alphaDash=-alpha *lambda)
	Create the Alpha_Dropout object using the specified ratio. More...
double	A () const
	Value to be multiplied with x for affine transformation. More...
double	AlphaDash () const
	Value of alphaDash. More...
double	B () const
	Value to be added to a*x for affine transformation. More...
template < typename eT >
void	Backward (const arma::Mat< eT > &, const arma::Mat< eT > &gy, arma::Mat< eT > &g)
	Ordinary feed backward pass of the alpha_dropout layer. More...
OutputDataType const &	Delta () const
	Get the detla. More...
OutputDataType &	Delta ()
	Modify the delta. More...
bool	Deterministic () const
	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 the alpha_dropout layer. More...
OutputDataType const &	Mask () const
	Get the mask. More...
OutputDataType const &	OutputParameter () const
	Get the output parameter. More...
OutputDataType &	OutputParameter ()
	Modify the output parameter. More...
double	Ratio () const
	The probability of setting a value to alphaDash. More...
void	Ratio (const double r)
	Modify the probability of setting a value to alphaDash. More...
template < typename Archive >
void	serialize (Archive &ar, const uint32_t)
	Serialize the layer. More...

Detailed Description

template

<

typename

InputDataType

=

arma::mat

,

typename

OutputDataType

=

arma::mat

>

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

The alpha - dropout layer is a regularizer that randomly with probability 'ratio' sets input values to alphaDash.

The alpha - dropout layer is mostly used for SELU activation function where successive layers don't have same mean and variance.

For more information, see the following.

@article{Klambauer2017,
  author  = {Gunter Klambauer and Thomas Unterthiner and
             Andreas Mayr},
  title   = {Self-Normalizing Neural Networks},
  journal = {Advances in Neural Information Processing Systems},
  year    = {2017},
  url     = {https://arxiv.org/abs/1706.02515}
}

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 50 of file alpha_dropout.hpp.

Constructor & Destructor Documentation

AlphaDropout()

AlphaDropout	(	const double	ratio = 0.5,
		const double	alphaDash = -alpha *lambda
	)

Create the Alpha_Dropout object using the specified ratio.

Parameters

ratio	The probability of setting a value to alphaDash.
alphaDash	The dropout scaling parameter.

Member Function Documentation

A()

double A ( ) const

inline

Value to be multiplied with x for affine transformation.

Definition at line 102 of file alpha_dropout.hpp.

AlphaDash()

double AlphaDash ( ) const

inline

Value of alphaDash.

Definition at line 108 of file alpha_dropout.hpp.

B()

double B ( ) const

inline

Value to be added to a*x for affine transformation.

Definition at line 105 of file alpha_dropout.hpp.

Backward()

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

Ordinary feed backward pass of the alpha_dropout layer.

Parameters

*	(input) The propagated input activation.
gy	The backpropagated error.
g	The calculated gradient.

Delta() [1/2]

OutputDataType const& Delta ( ) const

inline

Get the detla.

Definition at line 89 of file alpha_dropout.hpp.

Delta() [2/2]

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 91 of file alpha_dropout.hpp.

Deterministic() [1/2]

bool Deterministic ( ) const

inline

The value of the deterministic parameter.

Definition at line 94 of file alpha_dropout.hpp.

Deterministic() [2/2]

bool& Deterministic ( )

inline

Modify the value of the deterministic parameter.

Definition at line 96 of file alpha_dropout.hpp.

Forward()

void Forward	(	const arma::Mat< eT > &	input,
		arma::Mat< eT > &	output
	)

Ordinary feed forward pass of the alpha_dropout layer.

Parameters

input	Input data used for evaluating the specified function.
output	Resulting output activation.

Mask()

OutputDataType const& Mask ( ) const

inline

Get the mask.

Definition at line 111 of file alpha_dropout.hpp.

OutputParameter() [1/2]

OutputDataType const& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 84 of file alpha_dropout.hpp.

OutputParameter() [2/2]

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 86 of file alpha_dropout.hpp.

Ratio() [1/2]

double Ratio ( ) const

inline

The probability of setting a value to alphaDash.

Definition at line 99 of file alpha_dropout.hpp.

Ratio() [2/2]

void Ratio ( const double  r )

inline

Modify the probability of setting a value to alphaDash.

As 'a' and 'b' depend on 'ratio', modify them as well.

Definition at line 115 of file alpha_dropout.hpp.

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

serialize()

void serialize	(	Archive &	ar,
		const uint32_t
	)

Serialize the layer.

Referenced by AlphaDropout< InputDataType, OutputDataType >::Ratio().

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/layer/alpha_dropout.hpp