Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way

Optical neural networks can effectively address hardware constraints and parallel computing efficiency issues inherent in electronic neural networks. However, the inability to implement convolutional neural networks at the all-optical level remains a hurdle. In this work, we propose an optical diffr...

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Detalles Bibliográficos
Autores principales: Yu, Yaze, Cao, Yang, Wang, Gong, Pang, Yajun, Lang, Liying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302459/
https://www.ncbi.nlm.nih.gov/pubmed/37420913
http://dx.doi.org/10.3390/s23125749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302459/
https://www.ncbi.nlm.nih.gov/pubmed/37420913
http://dx.doi.org/10.3390/s23125749

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