Uses of Class
greycat.ml.neuralnet.process.ExMatrix

Packages that use ExMatrix

Package	Description
greycat.ml.neuralnet.layer
greycat.ml.neuralnet.loss
greycat.ml.neuralnet.process

Uses of ExMatrix in greycat.ml.neuralnet.layer

Methods in greycat.ml.neuralnet.layer that return ExMatrix

Modifier and Type	Method and Description
ExMatrix	Layer.forward(ExMatrix input, ProcessGraph g)
ExMatrix[]	Layer.getLayerParameters()

Methods in greycat.ml.neuralnet.layer with parameters of type ExMatrix

Modifier and Type	Method and Description
ExMatrix	Layer.forward(ExMatrix input, ProcessGraph g)

Uses of ExMatrix in greycat.ml.neuralnet.loss

Methods in greycat.ml.neuralnet.loss with parameters of type ExMatrix

Modifier and Type	Method and Description
void	Loss.backward(ExMatrix actualOutput, ExMatrix targetOutput)
void	AbstractValue.backward(ExMatrix actualOutput, ExMatrix targetOutput)
DMatrix	Loss.forward(ExMatrix actualOutput, ExMatrix targetOutput)
DMatrix	AbstractValue.forward(ExMatrix actualOutput, ExMatrix targetOutput)

Uses of ExMatrix in greycat.ml.neuralnet.process

Methods in greycat.ml.neuralnet.process that return ExMatrix

Modifier and Type	Method and Description
ExMatrix	ProcessGraph.activate(Activation activation, ExMatrix input)
ExMatrix	ProcessGraph.add(ExMatrix matA, ExMatrix matB)
ExMatrix	ProcessGraph.concatVectors(ExMatrix matA, ExMatrix matB)
static ExMatrix	ExMatrix.createFromW(DMatrix w)
ExMatrix	ProcessGraph.elmul(ExMatrix matA, ExMatrix matB)
static ExMatrix	ExMatrix.empty(int rows, int column)
ExMatrix	ProcessGraph.expand(ExMatrix matA, int numOfCol)
ExMatrix	ProcessGraph.mul(ExMatrix matA, ExMatrix matB)
ExMatrix	ProcessGraph.oneMinus(ExMatrix matA)

Methods in greycat.ml.neuralnet.process with parameters of type ExMatrix

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