Table of Contents

Namespace NeuralNetworks.Losses

Classes

LogSoftmaxCrossEntropyLoss

Categorical Cross-Entropy loss with Log-Softmax activation (also known as Negative Log-Likelihood Loss).

Loss<TPrediction>

The "loss" of a neural network.

MeanSquaredErrorLoss

Mean Squared Error (MSE) loss function for 2D tensors.

MeanSquaredErrorLoss4D

Mean Squared Error (MSE) loss function for 4D tensors.

SigmoidBinaryCrossEntropyLoss

Binary Cross-Entropy loss combined with Sigmoid activation function.

SoftmaxCrossEntropyLoss

Categorical Cross-Entropy loss combined with Softmax activation function.