Class ParamOperation4D<TParam>

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

An Operation with parameters of type TParam.

public abstract class ParamOperation4D<TParam> : ParamOperation4D

Type Parameters

TParam

Inheritance

object

Operation

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

Operation4D

ParamOperation4D

ParamOperation4D<TParam>

Derived

Conv2D

Inherited Members

ParamOperation4D.GetParamCount()

ParamOperation4D.UpdateParams(Layer, Optimizer)

Operation4D.EnsureSameShapeForInput(float[,,,], float[,,,])

Operation4D.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

ParamOperation4D(TParam)

An Operation with parameters of type TParam.

protected ParamOperation4D(TParam param)

Parameters

param TParam

Parameter matrix.

Properties

Param

protected TParam Param { 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