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Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks
Despite the enormous success of artificial neural networks (ANNs) in many disciplines, the characterization of their computations and the origin of key properties such as generalization and robustness remain open questions. Recent literature suggests that robust networks with good generalization pro...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314860/ https://www.ncbi.nlm.nih.gov/pubmed/35903397 http://dx.doi.org/10.3389/frai.2022.890016 |