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Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware
While convolutional neural networks (CNNs) continue to renew state-of-the-art performance across many fields of machine learning, their hardware implementations tend to be very costly and inflexible. Neuromorphic hardware, on the other hand, targets higher efficiency but their inference accuracy lag...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793640/ https://www.ncbi.nlm.nih.gov/pubmed/33424530 http://dx.doi.org/10.3389/fnins.2020.543472 |