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Comparing different nonlinearities in readout systems for optical neuromorphic computing networks
Nonlinear activation is a crucial building block of most machine-learning systems. However, unlike in the digital electrical domain, applying a saturating nonlinear function in a neural network in the analog optical domain is not as easy, especially in integrated systems. In this paper, we first inv...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683405/ https://www.ncbi.nlm.nih.gov/pubmed/34921207 http://dx.doi.org/10.1038/s41598-021-03594-0 |