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Integration of Diffractive Optical Neural Networks with Electronic Neural Networks

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Abstract

We demonstrate jointly-trained hybrid (optical-electronic) networks, where diffractive optical neural networks act as a trainable front-end mitigating the information loss at a low-resolution image sensor to improve the overall classification accuracy of the hybrid network.

© 2020 The Author(s)

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