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arXiv · 2103.07862

High speed and reconfigurable optronic neural network with digital nonlinear activation

Qiuhao Wu·Jia Liu·Xiubao Sui·Liping Wang·Qian Chen
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Abstract

With its unique parallel processing capability, optical neural network has shown low-power consumption in image recognition and speech processing. At present, the manufacturing technology of programmable photonic chip is not mature, and the realization of optical neural network in free-space is still a hot spot of intelligent optical computing. In this article, based on MNIST datasets and 4f system, three-layer optical neural networks are constructed, whose recognition accuracy can reach 93.66%. Our network is programmable, high speed, reconfigurable and is better than the existing free-space optical neural network in terms of spatial complexity.

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Qiuhao Wu, Jia Liu, Xiubao Sui, Liping Wang, Qian Chen. 2021-03-14. High speed and reconfigurable optronic neural network with digital nonlinear activation. https://doi.org/10.1016/j.ijleo.2021.168043

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