OpenANN::Input Class Reference

Input layer. More...

#include <Input.h>

Inheritance diagram for OpenANN::Input:

Public Member Functions
	Input (int dim1, int dim2, int dim3)
virtual OutputInfo	initialize (std::vector< double * > &parameterPointers, std::vector< double * > &parameterDerivativePointers)
	Fill in the parameter pointers and parameter derivative pointers. More...
virtual void	initializeParameters ()
	Initialize the parameters. More...
virtual void	updatedParameters ()
	Generate internal parameters from externally visible parameters. More...
virtual void	forwardPropagate (Eigen::MatrixXd *x, Eigen::MatrixXd *&y, bool dropout, double *error=0)
	Forward propagation in this layer. More...
virtual void	backpropagate (Eigen::MatrixXd *ein, Eigen::MatrixXd *&eout, bool backpropToPrevious)
	Backpropagation in this layer. More...
virtual Eigen::MatrixXd &	getOutput ()
	Output after last forward propagation. More...
virtual Eigen::VectorXd	getParameters ()
	Get the current values of parameters (weights, biases, ...). More...
Public Member Functions inherited from OpenANN::Layer
virtual	~Layer ()

Detailed Description

Input layer.

Constructor & Destructor Documentation

OpenANN::Input::Input	(	int	dim1,
		int	dim2,
		int	dim3
	)

Member Function Documentation

virtual void OpenANN::Input::backpropagate ( Eigen::MatrixXd *  ein, Eigen::MatrixXd *&  eout, bool  backpropToPrevious  )

virtual

Backpropagation in this layer.

Parameters

ein	pointer to error signal of the higher layer
eout	returns a pointer to error signal of the layer (derivative of the error with respect to the input)
backpropToPrevious	backpropagate errors to previous layers

Implements OpenANN::Layer.

virtual void OpenANN::Input::forwardPropagate ( Eigen::MatrixXd *  x, Eigen::MatrixXd *&  y, bool  dropout, double *  error = 0  )

virtual

Forward propagation in this layer.

Parameters

x	pointer to input of the layer (with bias)
y	returns a pointer to output of the layer
dropout	enable dropout for regularization
error	error value, will be updated with regularization terms

Implements OpenANN::Layer.

virtual Eigen::MatrixXd& OpenANN::Input::getOutput ( )

virtual

Output after last forward propagation.

Returns

output

Implements OpenANN::Layer.

virtual Eigen::VectorXd OpenANN::Input::getParameters ( )

virtual

Get the current values of parameters (weights, biases, ...).

Returns

parameters

Implements OpenANN::Layer.

virtual OutputInfo OpenANN::Input::initialize ( std::vector< double * > &  parameterPointers, std::vector< double * > &  parameterDerivativePointers  )

virtual

Fill in the parameter pointers and parameter derivative pointers.

Parameters

parameterPointers	pointers to parameters
parameterDerivativePointers	pointers to derivatives of parameters

Returns

information about the output of the layer

Implements OpenANN::Layer.

virtual void OpenANN::Input::initializeParameters ( )

virtual

Initialize the parameters.

This is usually called before each optimization.

Implements OpenANN::Layer.

virtual void OpenANN::Input::updatedParameters ( )

inlinevirtual

Generate internal parameters from externally visible parameters.

This is usually called after each parameter update.

Implements OpenANN::Layer.

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

• OpenANN/layers/Input.h