Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification

Convolutional neural networks (CNNs) excel in a wide variety of computer vision applications, but their high performance also comes at a high computational cost. Despite efforts to increase efficiency both algorithmically and with specialized hardware, it remains difficult to deploy CNNs in embedded...

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Detalles Bibliográficos
Autores principales: Chang, Julie, Sitzmann, Vincent, Dun, Xiong, Heidrich, Wolfgang, Wetzstein, Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098044/
https://www.ncbi.nlm.nih.gov/pubmed/30120316
http://dx.doi.org/10.1038/s41598-018-30619-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098044/
https://www.ncbi.nlm.nih.gov/pubmed/30120316
http://dx.doi.org/10.1038/s41598-018-30619-y

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