Experimental demonstration of online learning in deep photonic neural networks

被引：0

作者：

Li, Xi ^{[1
]}

Biswas, Disha ^{[2
]}

Zhou, Peng ^{[2
]}

Brigner, Wesley H. ^{[2
]}

Friedman, Joseph S. ^{[2
]}

Gu, Qing ^{[1
,3
]}

机构：

[1] North Carolina State Univ, Dept Elect & Comp Engn, 890 Oval Dr, Raleigh, NC 27606 USA

[2] Univ Texas Dallas, Dept Elect & Comp Engn, 800 W Campbell Rd, Richardson, TX 75080 USA

[3] North Carolina State Univ, Dept Phys, 2401 Stinson Dr, Raleigh, NC 27607 USA

来源：

2023 IEEE PHOTONICS CONFERENCE, IPC | 2023年

基金：

美国国家科学基金会;

关键词：

photonic neural network; unsupervised online learning;

D O I：

10.1109/IPC57732.2023.10360778

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：

We demonstrate supervised and unsupervised online learning of a deep photonic neural network. While the present system employs a fiber-optics setup with variable optical attenuators as synapses and software neurons, it can be adapted to chip-scale implementations with optical neurons and synapses.

引用

页数：2

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