Classes
| BinaryCrossentropy | Computes the cross-entropy loss between true labels and predicted labels. |
| CategoricalCrossentropy | Computes the crossentropy loss between the labels and predictions. |
| CategoricalHinge | Computes the categorical hinge loss between labels and predictions. |
| CosineSimilarity | Computes the cosine similarity between labels and predictions. |
| Hinge | Computes the hinge loss between labels and predictions. |
| Huber | Computes the Huber loss between labels and predictions. |
| KLDivergence | Computes Kullback-Leibler divergence loss between labels and predictions. |
| LogCosh | Computes Computes the logarithm of the hyperbolic cosine of the prediction error. |
| Loss | |
| Losses | Built-in loss functions. |
| MeanAbsoluteError | Computes the mean of absolute difference between labels and predictions. |
| MeanAbsolutePercentageError | Computes the mean absolute percentage error between labels and predictions. |
| MeanSquaredError | Computes the mean of squares of errors between labels and predictions. |
| MeanSquaredLogarithmicError | Computes the mean squared logarithmic errors between labels and predictions. |
| Poisson | Computes the Poisson loss between labels and predictions. |
| SparseCategoricalCrossentropy | Computes the crossentropy loss between labels and predictions. |
| SquaredHinge | Computes the squared hinge loss between labels and predictions. |