Locally linear attributes of ReLU neural networks
A ReLU neural network functions as a continuous piecewise linear map from an input space to an output space. The weights in the neural network determine a partitioning of the input space into convex polytopes, where each polytope is associated with a distinct affine mapping. The structure of this pa...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2023-11-01
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| Serie: | Frontiers in Artificial Intelligence |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/frai.2023.1255192/full |
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