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...

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Detalles Bibliográficos
Autores principales: Ma, Chonghuai, Lambrecht, Joris, Laporte, Floris, Yin, Xin, Dambre, Joni, Bienstman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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