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Machine learning in spectral domain
Deep neural networks are usually trained in the space of the nodes, by adjusting the weights of existing links via suitable optimization protocols. We here propose a radically new approach which anchors the learning process to reciprocal space. Specifically, the training acts on the spectral domain...
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| Yayımlandı: | Nat Commun |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7910623/ https://ncbi.nlm.nih.gov/pubmed/33637729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-21481-0 |
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