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Mixed-Precision Deep Learning Based on Computational Memory
Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition. Training of large DNNs, however, is computationally intensive and this has motivated the search for novel computing ar...
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| Опубликовано в: : | Front Neurosci |
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| Главные авторы: | , , , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7235420/ https://ncbi.nlm.nih.gov/pubmed/32477047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00406 |
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