Affiliation:
1. University of Rochester, Institute of Optics
2. University of Rochester
Abstract
A metaoptical system is co-designed with electronic hardware to implement deep learning image recognition. The optical convolution block includes a reflective metasurface to perform one layer of a deep neural network. The optical and digital components are jointly optimized to perform an image classification task attaining 65% accuracy, which is close to the 66% accuracy of a fully-digital network where the optical block is replaced by a digital convolution layer.
Subject
Atomic and Molecular Physics, and Optics
Cited by
1 articles.
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