FD::FFLayer Class Reference

#include <FFLayer.h>

Inheritance diagram for FD::FFLayer:

[legend]Collaboration diagram for FD::FFLayer:

[legend]List of all members.

Public Member Functions
	FFLayer ()
	FFLayer (int _nbNeurons, int _nbInputs, float *_weights, int _weightOffset, int _neuronOffset, std::string type="tansig")
	FFLayer (const FFLayer &layer)
void	setupAfterRead (float *_weights, int _weightOffset, int _neuronOffset)
void	update (const float *previous, float *value, float *deriv=NULL)
int	size ()
int	getNbWeights ()
int	getNeuronWeightOffset (int i)
int	getWeightOffset ()
int	getNeuronOffset ()
void	init (float minmax)
void	init (double *mean, double *std)
void	setBias (double *minmax)
float *	getWeights (int i)
void	printOn (std::ostream &out) const
void	readFrom (std::istream &in)
void	setDerivOffset (float d)
Public Attributes
void(*	func )(float *, float *, int)
void(*	deriv_func )(float *, float *, int)
Protected Attributes
int	nbNeurons
int	nbInputs
float *	weights
std::string	funcType
int	weightOffset
int	neuronOffset
float	derivOffset

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Detailed Description

Represents one (fully-connected) layer from a multi-layer percetron (FFNet)

Author:

: Jean-Marc Valin

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Constructor & Destructor Documentation

FD::FFLayer::FFLayer (   )  [inline]

This (empty) constructor is used for parsing a layer from a file

FD::FFLayer::FFLayer (  int  _nbNeurons, int  _nbInputs, float *  _weights, int  _weightOffset, int  _neuronOffset, std::string  type = "tansig" )

Standard constructor

FD::FFLayer::FFLayer (  const FFLayer &  layer  )  [inline]

Unimplemented yet (not sure if we *should* implement it)

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Member Function Documentation

int FD::FFLayer::getNbWeights (   )  [inline]

Number of weights

int FD::FFLayer::getNeuronWeightOffset (  int  i  )  [inline]

Offset of a certain neuron's weight vector relative to the whole network's weight vector

void FD::FFLayer::init (  double *  mean, double *  std )

Initializes the layer values given the means and standard deviations of each of the inputs

void FD::FFLayer::printOn (  std::ostream &  out  )  const [virtual]

Writes the layer to a stream Implements FD::Object.

void FD::FFLayer::readFrom (  std::istream &  in  )  [virtual]

Reads the layer from a stream (remember to call setupAfterRead after that Reimplemented from FD::Object.

void FD::FFLayer::setBias (  double *  minmax  )

Sets the bias vector

void FD::FFLayer::setupAfterRead (  float *  _weights, int  _weightOffset, int  _neuronOffset )

Called after reading a layer to setup the weight vector correctly

int FD::FFLayer::size (   )  [inline]

Layer size

void FD::FFLayer::update (  const float *  previous, float *  value, float *  deriv = NULL )  [inline]

Calculates all the activation functions (and derivatives) for a given input

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Member Data Documentation

void(* FD::FFLayer::deriv_func)(float *, float *, int)

Activation function derivative pointer

float FD::FFLayer::derivOffset [protected]

Offset of the layer's first neuron derivative in the list of all network neurons

void(* FD::FFLayer::func)(float *, float *, int)

Activation function pointer

int FD::FFLayer::nbInputs [protected]

Number of input neurons

int FD::FFLayer::nbNeurons [protected]

Number of neurons in the layer

int FD::FFLayer::neuronOffset [protected]

Offset of the layer's first neuron in the list of all network neurons (not too sure about that one, though)

int FD::FFLayer::weightOffset [protected]

Offset of the layer weight vector in the network weight vector

float* FD::FFLayer::weights [protected]

Pointer to the weight vector

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

• FFLayer.h

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