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

共 50 条

[21] Deep Neural Networks For Online Trend Prediction
Blem, Morgan
Cristaudo, Chesney
Moodley, Deshendran
2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022), 2022,
[22] Solving coherent-imaging inverse problems using deep neural networks: An experimental demonstration
Pellizzari, Casey J.
Bate, Timothy J.
Donnelly, Kevin P.
Spencer, Mark F.
UNCONVENTIONAL IMAGING AND ADAPTIVE OPTICS 2022, 2022, 12239
[23] Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang
Mingkun Chen
Jonathan A. Fan
Nature Reviews Materials, 2021, 6 : 679 - 700
[24] Using photonic reservoirs as preprocessors for deep neural networks
Bauwens, Ian
Van der Sande, Guy
Bienstman, Peter
Verschaffelt, Guy
Frontiers in Physics, 2022, 10
[25] Using photonic reservoirs as preprocessors for deep neural networks
Bauwens, Ian
van der Sande, Guy
Bienstman, Peter
Verschaffelt, Guy
FRONTIERS IN PHYSICS, 2022, 10
[26] Deep neural networks for the evaluation and design of photonic devices
Jiang, Jiaqi
Chen, Mingkun
Fan, Jonathan A.
NATURE REVIEWS MATERIALS, 2021, 6 (08) : 679 - 700
[27] Experimental demonstration of coupled learning in elastic networks
Altman, Lauren E.
Stern, Menachem
Liu, Andrea J.
Durian, Douglas J.
PHYSICAL REVIEW APPLIED, 2024, 22 (02):
[28] "iCub, clean the table!" A robot learning from demonstration approach using Deep Neural Networks
Kim, Jaeseok
Cauli, Nino
Vicente, Pedro
Damas, Bruno
Cavallo, Filippo
Santos-Victor, Jose
2018 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC), 2018, : 3 - 9
[29] Experimental Demonstration of a Photonic Extreme Learning Machine with an Array of Microresonators
Biasi, Stefano
Franchi, Riccardo
Pavesi, Lorenzo
2023 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING AND COMPUTING, PSC, 2023,
[30] A Hybrid Deep Neural Network for Online Learning
Chavan, Trupti R.
Nandedkar, Abhijeet V.
2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR), 2017, : 368 - 373

← 1 2 3 4 5 →