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Committee machines—a universal method to deal with non-idealities in memristor-based neural networks
Artificial neural networks are notoriously power- and time-consuming when implemented on conventional von Neumann computing systems. Consequently, recent years have seen an emergence of research in machine learning hardware that strives to bring memory and computing closer together. A popular approa...
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| 出版年: | Nat Commun |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7450095/ https://ncbi.nlm.nih.gov/pubmed/32848139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-18098-0 |
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