Class Operation4D

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

public abstract class Operation4D : Operation<float[,,,], float[,,,]>

Inheritance

object

Operation

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

Operation4D

Derived

ActivationFunction4D

Dropout4D

ParamOperation4D

Inherited Members

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()

Methods

EnsureSameShapeForInput(float[,,,]?, float[,,,])

protected override void EnsureSameShapeForInput(float[,,,]? input, float[,,,] inputGradient)

Parameters

input float[,,,]

inputGradient float[,,,]

EnsureSameShapeForOutput(float[,,,]?, float[,,,])

protected override void EnsureSameShapeForOutput(float[,,,]? output, float[,,,] outputGradient)

Parameters

output float[,,,]

outputGradient float[,,,]