Class CalculationLayer

java.lang.Object

org.ojalgo.ann.CalculationLayer

final class CalculationLayer
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
private ArtificialNeuralNetwork.Activator	myActivator
private final PhysicalStore<Double>	myBias
private final PhysicalStore<Double>	myWeights

Constructor Summary

Constructors

Constructor	Description
CalculationLayer(PhysicalStore.Factory<Double,?> factory, int numberOfInputs, int numberOfOutputs, ArtificialNeuralNetwork.Activator activator)

Method Summary

Modifier and Type	Method	Description
(package private) void	adjust(PhysicalStore<Double> input, PhysicalStore<Double> output, PhysicalStore<Double> upstreamGradient, PhysicalStore<Double> downstreamGradient, double learningRate, double dropoutsFactor, DoubleUnaryOperator regularisation)
(package private) int	countInputNodes()
(package private) int	countOutputNodes()
boolean	equals(Object obj)
(package private) ArtificialNeuralNetwork.Activator	getActivator()
(package private) double	getBias(int output)
(package private) MatrixStore<Double>	getLogicalWeights()
(package private) Structure2D	getStructure()
(package private) double	getWeight(int input, int output)
int	hashCode()
(package private) PhysicalStore<Double>	invoke(PhysicalStore<Double> input, PhysicalStore<Double> output)
(package private) PhysicalStore<Double>	invoke(PhysicalStore<Double> input, PhysicalStore<Double> output, double probabilityToKeep)
(package private) void	randomise()
(package private) void	scale(double factor)
(package private) void	setActivator(ArtificialNeuralNetwork.Activator activator)
(package private) void	setBias(int output, double bias)
(package private) void	setWeight(int input, int output, double weight)
String	toString()

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

myActivator

private ArtificialNeuralNetwork.Activator myActivator

myBias

private final PhysicalStore<Double> myBias

myWeights

private final PhysicalStore<Double> myWeights

Constructor Details

CalculationLayer

CalculationLayer(PhysicalStore.Factory<Double,?> factory,
 int numberOfInputs,
 int numberOfOutputs,
 ArtificialNeuralNetwork.Activator activator)

Method Details

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

toString

public String toString()

Overrides:

toString in class Object

adjust

void adjust(PhysicalStore<Double> input,
 PhysicalStore<Double> output,
 PhysicalStore<Double> upstreamGradient,
 PhysicalStore<Double> downstreamGradient,
 double learningRate,
 double dropoutsFactor,
 DoubleUnaryOperator regularisation)

countInputNodes

int countInputNodes()

countOutputNodes

int countOutputNodes()

getActivator

ArtificialNeuralNetwork.Activator getActivator()

getBias

double getBias(int output)

getLogicalWeights

MatrixStore<Double> getLogicalWeights()

getStructure

Structure2D getStructure()

getWeight

double getWeight(int input,
 int output)

invoke

PhysicalStore<Double> invoke(PhysicalStore<Double> input,
 PhysicalStore<Double> output)

invoke

PhysicalStore<Double> invoke(PhysicalStore<Double> input,
 PhysicalStore<Double> output,
 double probabilityToKeep)

randomise

void randomise()

scale

void scale(double factor)

setActivator

void setActivator(ArtificialNeuralNetwork.Activator activator)

setBias

void setBias(int output,
 double bias)

setWeight

void setWeight(int input,
 int output,
 double weight)