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The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale’s 18th problem
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffer from instability, even when universal approximation properties guarantee the existence of stable neural networks (NNs). We address this paradox by d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944871/ https://www.ncbi.nlm.nih.gov/pubmed/35294283 http://dx.doi.org/10.1073/pnas.2107151119 |