Class SoftmaxLogSumExpCrossEntropyLoss

Namespace

NeuralNetworks.Losses

Assembly

NeuralNetworks.dll

public class SoftmaxLogSumExpCrossEntropyLoss : Loss2D

Inheritance

object

Loss<float[,]>

Loss2D

SoftmaxLogSumExpCrossEntropyLoss

Inherited Members

Loss2D.EnsureSameShape(float[,], float[,])

Loss<float[,]>.Prediction

Loss<float[,]>.Target

Loss<float[,]>.Forward(float[,], float[,])

Loss<float[,]>.Backward()

Loss<float[,]>.CalculateLoss()

Loss<float[,]>.CalculateLossGradient()

Loss<float[,]>.CloneBase()

Loss<float[,]>.Clone()

Loss<float[,]>.EnsureSameShape(float[,], float[,])

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

SoftmaxLogSumExpCrossEntropyLoss(float)

public SoftmaxLogSumExpCrossEntropyLoss(float eps = 1E-07)

Parameters

eps float

Methods

CalculateLoss()

protected override float CalculateLoss()

Returns

float

CalculateLossGradient()

protected override float[,] CalculateLossGradient()

Returns

float[,]