aima.core.learning.neural

Class Layer

java.lang.Object

aima.core.learning.neural.Layer

public class Layer
extends java.lang.Object

Artificial Intelligence A Modern Approach (3rd Edition): page 729

Feed-forward networks are usually arranged in layers, such that each unit receives input only from units in the immediately preceding layer.

Author:

Ravi Mohan, Mike Stampone

Constructor Summary

Constructors

Constructor and Description
Layer(int numberOfNeurons, int numberOfInputs, double lowerLimitForWeights, double upperLimitForWeights, ActivationFunction af)
Layer(Matrix weightMatrix, Vector biasVector, ActivationFunction af)

Method Summary

Modifier and Type	Method and Description
void	acceptNewBiasUpdate(Vector biasUpdate)
void	acceptNewWeightUpdate(Matrix weightUpdate)
Vector	errorVectorFrom(Vector target)
Vector	feedForward(Vector inputVector)
ActivationFunction	getActivationFunction()
Vector	getBiasVector()
Vector	getLastActivationValues()
Vector	getLastBiasUpdateVector()
Vector	getLastInducedField()
Vector	getLastInputValues()
Matrix	getLastWeightUpdateMatrix()
Vector	getPenultimateBiasUpdateVector()
Matrix	getPenultimateWeightUpdateMatrix()
Matrix	getWeightMatrix()
int	numberOfInputs()
int	numberOfNeurons()
void	setLastBiasUpdateVector(Vector v)
void	setLastWeightUpdateMatrix(Matrix m)
void	setPenultimateBiasUpdateVector(Vector v)
void	setPenultimateWeightUpdateMatrix(Matrix m)
void	updateBiases()
void	updateWeights()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Layer

public Layer(Matrix weightMatrix,
             Vector biasVector,
             ActivationFunction af)

Layer

public Layer(int numberOfNeurons,
             int numberOfInputs,
             double lowerLimitForWeights,
             double upperLimitForWeights,
             ActivationFunction af)

Method Detail

feedForward

public Vector feedForward(Vector inputVector)

getWeightMatrix

public Matrix getWeightMatrix()

getBiasVector

public Vector getBiasVector()

numberOfNeurons

public int numberOfNeurons()

numberOfInputs

public int numberOfInputs()

getLastActivationValues

public Vector getLastActivationValues()

getLastInducedField

public Vector getLastInducedField()

getLastWeightUpdateMatrix

public Matrix getLastWeightUpdateMatrix()

setLastWeightUpdateMatrix

public void setLastWeightUpdateMatrix(Matrix m)

getPenultimateWeightUpdateMatrix

public Matrix getPenultimateWeightUpdateMatrix()

setPenultimateWeightUpdateMatrix

public void setPenultimateWeightUpdateMatrix(Matrix m)

getLastBiasUpdateVector

public Vector getLastBiasUpdateVector()

setLastBiasUpdateVector

public void setLastBiasUpdateVector(Vector v)

getPenultimateBiasUpdateVector

public Vector getPenultimateBiasUpdateVector()

setPenultimateBiasUpdateVector

public void setPenultimateBiasUpdateVector(Vector v)

updateWeights

public void updateWeights()

updateBiases

public void updateBiases()

getLastInputValues

public Vector getLastInputValues()

getActivationFunction

public ActivationFunction getActivationFunction()

acceptNewWeightUpdate

public void acceptNewWeightUpdate(Matrix weightUpdate)

acceptNewBiasUpdate

public void acceptNewBiasUpdate(Vector biasUpdate)

errorVectorFrom

public Vector errorVectorFrom(Vector target)