Training and Inference of Optical Neural Networks with Noise and Low-Bits Control

Training and Inference of Optical Neural Networks with Noise and Low-Bits Control

Optical neural networks (ONNs) are getting more and more attention due to their advantages such as high-speed and low power consumption. However, in a non-ideal environment, the noise and low-bits control may heavily lead to a decrease in the accuracy of ONNs. Since there is AD/DA conversion in a si...

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Detalles Bibliográficos
Autores principales: Danni Zhang, Yejin Zhang, Ye Zhang, Yanmei Su, Junkai Yi, Pengfei Wang, Ruiting Wang, Guangzhen Luo, Xuliang Zhou, Jiaoqing Pan
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2021-04-01
Colección:Applied Sciences
Materias:
optical neural network
noise
quantization
image classification
Acceso en línea:https://www.mdpi.com/2076-3417/11/8/3692

Internet

https://www.mdpi.com/2076-3417/11/8/3692

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