Class ParamOperation2D<TParam>

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

An Operation with parameters of type TParam.

public abstract class ParamOperation2D<TParam> : ParamOperation2D

Type Parameters

TParam

Inheritance

object

Operation

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

Operation2D

ParamOperation2D

ParamOperation2D<TParam>

Derived

BiasAdd

WeightMultiply

Inherited Members

ParamOperation2D.GetParamCount()

ParamOperation2D.UpdateParams(Layer, Optimizer)

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

ParamOperation2D(TParam)

An Operation with parameters of type TParam.

protected ParamOperation2D(TParam param)

Parameters

param TParam

Parameter matrix.

Properties

Param

protected TParam Param { get; }

Property Value

TParam

ParamGradient

protected TParam ParamGradient { get; }

Property Value

TParam

Methods

Backward(float[,])

Converts output gradient to input gradient.

public override float[,] Backward(float[,] outputGradient)

Parameters

outputGradient float[,]

Returns

float[,]

CalcParamGradient(float[,])

protected abstract TParam CalcParamGradient(float[,] outputGradient)

Parameters

outputGradient float[,]

Returns

TParam

CloneBase()

protected override Operation<float[,], float[,]> CloneBase()

Returns

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

EnsureSameShapeForParam(TParam?, TParam)

[Conditional("DEBUG")]
protected abstract void EnsureSameShapeForParam(TParam? param, TParam paramGradient)

Parameters

param TParam

paramGradient TParam