Using prototypes to improve convolutional networks interpretability
Résumé
We propose a method that allows the interpretation of the data representation obtained by CNN, through introducing prototypes in the feature space, that are later classified into a certain category. This way we can see how the feature space is structured in link with the categories and the related task.
Domaines
Neurosciences| Origine | Fichiers produits par l'(les) auteur(s) |
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