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arXiv:1808.03303cs.ET

On-Chip Optical Convolutional Neural Networks

Hengameh Bagherian, Scott Skirlo, Yichen Shen, Huaiyu Meng, Vladimir Ceperic, Marin Soljacic

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Abstract

Convolutional Neural Networks (CNNs) are a class of Artificial Neural Networks(ANNs) that employ the method of convolving input images with filter-kernels for object recognition and classification purposes. In this paper, we propose a photonics circuit architecture which could consume a fraction of energy per inference compared with state of the art electronics.

arXiv comments
18 pages, 7 figures
Journal reference
DOI
Subjects
cs.ETEmerging Technologies

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