Losses resume
Documentation illustration (illustration unavailable in the archive).Documentation illustration (illustration unavailable in the archive).
In this section you’ll find a list of all losses fonctionalities.
| ICONS | RESUME | |
| BinaryCrossentropy | Documentation illustration (illustration unavailable in the archive). | Computes the cross-entropy loss between true labels and predicted labels. |
| CategoricalCrossentropy | Documentation illustration (illustration unavailable in the archive). | Computes the crossentropy loss between the labels and predictions. |
| CategoricalHinge | Documentation illustration (illustration unavailable in the archive). | Computes the categorical hinge loss between y_true and y_pred. |
| CosineSimilarity | Documentation illustration (illustration unavailable in the archive). | Computes the cosine similarity between true labels and predicted labels. |
| Hinge | Documentation illustration (illustration unavailable in the archive). | Computes the hinge loss between y_true and y_pred. |
| Huber | Documentation illustration (illustration unavailable in the archive). | Computes the Huber loss between y_true and y_pred. |
| KLDivergence | Documentation illustration (illustration unavailable in the archive). | Computes Kullback-Leibler divergence loss between y_true and y_pred. |
| LogCosh | Documentation illustration (illustration unavailable in the archive). | Computes the logarithm of the hyperbolic cosine of the prediction error. |
| MeanAbsoluteError | Documentation illustration (illustration unavailable in the archive). | Computes the mean of absolute difference between labels and predictions. |
| MeanAbsolutePercentageError | Documentation illustration (illustration unavailable in the archive). | Computes the mean absolute percentage error between y_true and y_pred. |
| MeanSquaredError | Documentation illustration (illustration unavailable in the archive). | Computes the mean of squares of errors between labels and predictions. |
| MeanSquaredLogarithmicError | Documentation illustration (illustration unavailable in the archive). | Computes the mean squared logarithmic error between y_true and y_pred. |
| Poisson | Documentation illustration (illustration unavailable in the archive). | Computes the Poisson loss between y_true and y_pred. |
| SquaredHinge | Documentation illustration (illustration unavailable in the archive). | Computes the squared hinge loss between y_true and y_pred. |
| Custom | Documentation illustration (illustration unavailable in the archive). | A custom loss function allows you to define your own loss logic, making it possible to go beyond the standard loss functions provided by libraries. |