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.
@article{arxiv.1808.03303,
title = {On-Chip Optical Convolutional Neural Networks},
author = {Hengameh Bagherian and Scott Skirlo and Yichen Shen and Huaiyu Meng and Vladimir Ceperic and Marin Soljacic},
journal= {arXiv preprint arXiv:1808.03303},
year = {2018}
}