Advanced Photonics, Volume. 1, Issue 4, 046001(2019)

Class-specific differential detection in diffractive optical neural networks improves inference accuracy

Jingxi Li1,2,3、†, Deniz Mengu1,2,3, Yi Luo1,2,3, Yair Rivenson1,2,3, and Aydogan Ozcan1,2,3、*
Author Affiliations
  • 1University of California at Los Angeles, Department of Electrical and Computer Engineering, Los Angeles, California, United States
  • 2University of California at Los Angeles, Department of Bioengineering, Los Angeles, California, United States
  • 3University of California at Los Angeles, California NanoSystems Institute, Los Angeles, California, United States
  • show less
    References(37)

    [2] A. Krizhevsky, F. Pereira, I. Sutskever, G. E. Hinton et al. ImageNet classification with deep convolutional neural networks, 25(2012).

    [4] K. Cho et al. Learning phrase representations using RNN encoder-decoder for statistical machine translation(2014).

    [18] H. Bagherian et al. On-chip optical convolutional neural NETWORKS(2018).

    [19] A. Mehrabian et al. PCNNA: a photonic convolutional neural network accelerator, 169-173(2018).

    [20] J. George et al. Electrooptic nonlinear activation functions for vector matrix multiplications in optical neural networks, SpW4G.3(2018).

    [21] N. Soures et al. Neuro-MMI: a hybrid photonic-electronic machine learning platform, 187-188(2018).

    [23] T. W. Hughes et al. Wave physics as an analog recurrent neural network(2019).

    [29] S. Suthaharan, S. Suthaharan. Support vector machine. Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning, 207-235(2016).

    [31] K. He et al. Deep residual learning for image recognition, 770-778(2016).

    [34] A. Oland et al. Be careful what you backpropagate: a case for linear output activations and gradient boosting(2017).

    [35] G. Hinton, O. Vinyals, J. Dean. Distilling the knowledge in a neural network(2015).

    [36] I. Guyon, B. Lakshminarayanan, A. Pritzel, C. Blundell et al. Simple and scalable predictive uncertainty estimation using deep ensembles, 30(2017).

    [37] D. P. Kingma, J. Ba. Adam: a method for stochastic optimization(2014).

    CLP Journals

    [1] Qiuquan Yan, Qinghui Deng, Jun Zhang, Ying Zhu, Ke Yin, Teng Li, Dan Wu, Tian Jiang, "Low-latency deep-reinforcement learning algorithm for ultrafast fiber lasers," Photonics Res. 9, 1493 (2021)

    Tools

    Get Citation

    Copy Citation Text

    Jingxi Li, Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan, "Class-specific differential detection in diffractive optical neural networks improves inference accuracy," Adv. Photon. 1, 046001 (2019)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Jun. 10, 2019

    Accepted: Jul. 17, 2019

    Posted: Jul. 30, 2019

    Published Online: Aug. 13, 2019

    The Author Email: Ozcan Aydogan (ozcan@ucla.edu)

    DOI:10.1117/1.AP.1.4.046001

    Topics