Class SoftmaxCrossEntropyLoss

Namespace

NeuralNetworks.Losses

Assembly

NeuralNetworks.dll

Categorical Cross-Entropy Loss combined with Softmax activation function.

public class SoftmaxCrossEntropyLoss : Loss2D

Inheritance

object

Loss<float[,]>

Loss2D

SoftmaxCrossEntropyLoss

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)

Constructors

SoftmaxCrossEntropyLoss(float)

Categorical Cross-Entropy Loss combined with Softmax activation function.

public SoftmaxCrossEntropyLoss(float eps = 1E-07)

Parameters

eps float

Methods

CalculateLoss()

protected override float CalculateLoss()

Returns

float

CalculateLossGradient()

protected override float[,] CalculateLossGradient()

Returns

float[,]

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.