Class WeightMultiply

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

Weight multiplication operation for a neural network.

public class WeightMultiply : ParamOperation2D<float[,]>

Inheritance

object

Operation

Operation<float[,], float[,]>

Operation2D

ParamOperation2D

ParamOperation2D<float[,]>

WeightMultiply

Inherited Members

ParamOperation2D<float[,]>.Param

ParamOperation2D<float[,]>.ParamGradient

ParamOperation2D<float[,]>.Backward(float[,])

ParamOperation2D<float[,]>.EnsureSameShapeForParam(float[,], float[,])

ParamOperation2D<float[,]>.CalcParamGradient(float[,])

ParamOperation2D<float[,]>.CloneBase()

Operation2D.EnsureSameShapeForInput(float[,], float[,])

Operation2D.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.Input

Operation<float[,], float[,]>.Output

Operation<float[,], float[,]>.Forward(float[,], bool)

Operation<float[,], float[,]>.Backward(float[,])

Operation<float[,], float[,]>.EnsureSameShapeForInput(float[,], float[,])

Operation<float[,], float[,]>.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.CalcOutput(bool)

Operation<float[,], float[,]>.CalcInputGradient(float[,])

Operation<float[,], float[,]>.Forward(object, bool)

Operation<float[,], float[,]>.Backward(object)

Operation<float[,], float[,]>.GetOutputType()

Operation<float[,], float[,]>.GetInputType()

Operation<float[,], float[,]>.CloneBase()

Operation<float[,], float[,]>.Clone()

Operation.SetRegistered()

Operation.GetOutputType()

Operation.GetInputType()

Operation.Forward(object, bool)

Operation.Backward(object)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

WeightMultiply(float[,])

Weight multiplication operation for a neural network.

public WeightMultiply(float[,] weights)

Parameters

weights float[,]

Weight matrix.

Methods

CalcInputGradient(float[,])

Calculates input gradient.

protected override float[,] CalcInputGradient(float[,] outputGradient)

Parameters

outputGradient float[,]

Returns

float[,]

Remarks

Based on outputGradient, calculates changes in input.

CalcOutput(bool)

Computes output.

protected override float[,] CalcOutput(bool inference)

Parameters

inference bool

Returns

float[,]

CalcParamGradient(float[,])

protected override float[,] CalcParamGradient(float[,] outputGradient)

Parameters

outputGradient float[,]

Returns

float[,]

EnsureSameShapeForParam(float[,]?, float[,])

protected override void EnsureSameShapeForParam(float[,]? param, float[,] paramGradient)

Parameters

param float[,]

paramGradient float[,]

GetParamCount()

public override int GetParamCount()

Returns

int

UpdateParams(Layer?, Optimizer)

public override void UpdateParams(Layer? layer, Optimizer optimizer)

Parameters

layer Layer

optimizer Optimizer