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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682637/ https://www.ncbi.nlm.nih.gov/pubmed/31417340 http://dx.doi.org/10.3389/fnins.2019.00753 |