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Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge
Previous studies have demonstrated that, up to a certain degree, Convolutional Neural Networks (CNNs) can tolerate arithmetic approximations. Nonetheless, perturbations must be applied judiciously, to constrain their impact on accuracy. This is a challenging task, since the implementation of inexact...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320279/ https://www.ncbi.nlm.nih.gov/pubmed/35888960 http://dx.doi.org/10.3390/mi13071143 |