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
收藏
页数:2
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