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RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays
Analog arrays are a promising emerging hardware technology with the potential to drastically speed up deep learning. Their main advantage is that they employ analog circuitry to compute matrix-vector products in constant time, irrespective of the size of the matrix. However, ConvNets map very unfavo...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6682637/ https://ncbi.nlm.nih.gov/pubmed/31417340 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00753 |
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