greycat.ml.neuralnet.process

Class ProcessGraph

java.lang.Object

greycat.ml.neuralnet.process.ProcessGraph

public class ProcessGraph
extends Object

Constructor Summary

Constructors

Constructor and Description
ProcessGraph(boolean applyBackprop)

Method Summary

Modifier and Type	Method and Description
ExMatrix	activate(Activation activation, ExMatrix input)
ExMatrix	add(ExMatrix matA, ExMatrix matB)
DMatrix	applyLoss(Loss lossUnit, ExMatrix actualOutput, ExMatrix targetOutput, boolean calcForwardLoss)
void	backpropagate()
ExMatrix	concatVectors(ExMatrix matA, ExMatrix matB)
ExMatrix	elmul(ExMatrix matA, ExMatrix matB)
ExMatrix	expand(ExMatrix matA, int numOfCol)
ExMatrix	mul(ExMatrix matA, ExMatrix matB)
ExMatrix	oneMinus(ExMatrix matA)
void	setBackPropagation(boolean applyBackprop)

Methods inherited from class java.lang.Object

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

Constructor Detail

ProcessGraph

public ProcessGraph(boolean applyBackprop)

Method Detail

backpropagate

public final void backpropagate()

setBackPropagation

public final void setBackPropagation(boolean applyBackprop)

mul

public final ExMatrix mul(ExMatrix matA,
                          ExMatrix matB)

expand

public final ExMatrix expand(ExMatrix matA,
                             int numOfCol)

add

public final ExMatrix add(ExMatrix matA,
                          ExMatrix matB)

activate

public final ExMatrix activate(Activation activation,
                               ExMatrix input)

applyLoss

public final DMatrix applyLoss(Loss lossUnit,
                               ExMatrix actualOutput,
                               ExMatrix targetOutput,
                               boolean calcForwardLoss)

elmul

public ExMatrix elmul(ExMatrix matA,
                      ExMatrix matB)

oneMinus

public ExMatrix oneMinus(ExMatrix matA)

concatVectors

public ExMatrix concatVectors(ExMatrix matA,
                              ExMatrix matB)