Class ReLU3D

Namespace

NeuralNetworks.Operations.ActivationFunctions

Assembly

NeuralNetworks.dll

public class ReLU3D : ActivationFunction<float[,,], float[,,]>

Inheritance

object

Operation

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

ActivationFunction<float[,,], float[,,]>

ReLU3D

Inherited Members

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

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

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

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

Constructors

ReLU3D(float)

public ReLU3D(float beta = 1)

Parameters

beta float

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[,,]

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.