Deep Learning with Coherent Nanophotonic Circuits

被引：0

作者：

Shen, Yichen ^{[1
]}

Harris, Nicholas C. ^{[2
]}

Englund, Dirk ^{[2
]}

Soljacic, Marin ^{[1
]}

机构：

[1] MIT, Dept Phys, Cambridge, MA 02139 USA

[2] MIT, Elect Res Lab, Cambridge, MA 02139 USA

来源：

2017 FIFTH BERKELEY SYMPOSIUM ON ENERGY EFFICIENT ELECTRONIC SYSTEMS & STEEP TRANSISTORS WORKSHOP (E3S) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics. (C) 2017 Optical Society of America

引用

页数：2

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