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.