Class Loss2D

Namespace

NeuralNetworks.Losses

Assembly

NeuralNetworks.dll

public abstract class Loss2D : Loss<float[,]>

Inheritance

object

Loss<float[,]>

Loss2D

Derived

MeanSquaredError

SoftmaxCrossEntropyLoss

SoftmaxCrossEntropyLossOld

SoftmaxLogSumExpCrossEntropyLoss

Inherited Members

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()

Methods

EnsureSameShape(float[,]?, float[,])

protected override void EnsureSameShape(float[,]? prediction, float[,] target)

Parameters

prediction float[,]

target float[,]