Mixed-precision weights network for field-programmable gate array.
In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {-1,1}, ternary {-1,0,1}, and 32-bit floating-point. We further developed the MPWN from both software and hardware aspects. From t...
Guardado en:
Autores principales: | Ninnart Fuengfusin, Hakaru Tamukoh |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/8d7be8b03dd34b0d98af4d0dbd817acd |
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