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Co-designed metaoptoelectronic deep learning
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DOI：10.1364/OE.479038.png)
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摘要
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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.
Keyword:
OPTICS
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期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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SCIENTIFIC REPORTSIF3.9
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