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Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic
With increasing real-time constraints being put on the use of Deep Neural Networks (DNNs) by real-time scenarios, there is the need to review information representation. A very challenging path is to employ an encoding that allows a fast processing and hardware-friendly representation of information...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085555/ https://www.ncbi.nlm.nih.gov/pubmed/32164152 http://dx.doi.org/10.3390/s20051515 |