Training of Photonic Neural Networks through In Situ Backpropagation

被引:0
|
作者
Hughes, Tyler W. [1 ]
Minkov, Momchil [1 ]
Williamson, Ian A. D. [1 ]
Shi, Yu [1 ]
Fan, Shanhui [1 ]
机构
[1] Stanford Univ, Ginzton Lab, Stanford, CA 94305 USA
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
We provide a protocol for training photonic neural networks based on adjoint methods. The gradient of the network with respect to its tunable degrees of freedom is computed by physically backpropagating an optical error signal. (C) 2019 The Author(s)
引用
收藏
页数:2
相关论文
共 50 条
  • [21] A parallel implementation of the batch backpropagation training of neural networks
    Novokhodko, A
    Valentine, S
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 1783 - 1786
  • [22] Training Deep Spiking Neural Networks Using Backpropagation
    Lee, Jun Haeng
    Delbruck, Tobi
    Pfeiffer, Michael
    FRONTIERS IN NEUROSCIENCE, 2016, 10
  • [23] Backpropagation Neural Networks Training for Single Trial EEG
    Turnip, Arjon
    Hong, Keum-Shik
    Ge, Shuzhi Sam
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2462 - 2467
  • [24] A modified backpropagation training algorithm for feedforward neural networks
    Kathirvalavakumar, T
    Thangavel, P
    NEURAL PROCESSING LETTERS, 2006, 23 (02) : 111 - 119
  • [25] Training neural networks: Backpropagation vs genetic algorithms
    Siddique, MNH
    Tokhi, MO
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2673 - 2678
  • [26] In situ optical backpropagation training of diffractive optical neural networks (vol 8, pg 940, 2020)
    Zhou, Tiankuang
    Fang, Lu
    Yan, Tao
    Wu, Jiamin
    Li, Yipeng
    Fan, Jingtao
    Wu, Huaqiang
    Lin, Xing
    Dai, Qionghai
    PHOTONICS RESEARCH, 2020, 8 (08) : 1323 - 1323
  • [27] Efficient training of spiking neural networks with temporally-truncated local backpropagation through time
    Guo, Wenzhe
    Fouda, Mohammed E.
    Eltawil, Ahmed M.
    Salama, Khaled Nabil
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [28] Backpropagation through Time Algorithm for Training Recurrent Neural Networks using Variable Length Instances
    Grau, Isel
    Napoles, Gonzalo
    Bonet, Isis
    Garcia, Maria Matilde
    COMPUTACION Y SISTEMAS, 2013, 17 (01): : 15 - 24
  • [29] Training fuzzy number neural networks using constrained backpropagation
    Dunyak, J
    Guven, M
    Wunsch, D
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1142 - 1146
  • [30] Training Spiking Neural Networks with Event-driven Backpropagation
    Zhu, Yaoyu
    Yu, Zhaofei
    Fang, Wei
    Xie, Xiaodong
    Huang, Tiejun
    Masquelier, Timothee
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,