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Multitask Learning by Multiwave Optical Diffractive Network
Joint Authors
Yuan, Yafei
Su, Jing
Liu, Chunmin
Li, Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Recently, there has been tremendous research studies in optical neural networks that could complete comparatively complex computation by optical characteristic with much more fewer dissipation than electrical networks.
Existed neural networks based on the optical circuit are structured with an optical grating platform with different diffractive phases at different diffractive points (Chen and Zhu, 2019 and Mo et al., 2018).
In this study, it proposed a multiwave deep diffractive network with approximately 106 synapses, and it is easy to make hardware implementation of neuromorphic networks.
In the optical architecture, it can utilize optical diffractive characteristic and different wavelengths to perform different tasks.
Different wavelengths and different tasks inputs are independent of each other.
Moreover, we can utilize the characteristic of them to inference several tasks, simultaneously.
The results of experiments were demonstrated that the network could get a comparable performance to single-wavelength single-task.
Compared to the multinetwork, single network can save the cost of fabrication with lithography.
We train the network on MNIST and MNIST-FASHION which are two different datasets to perform classification of 32∗32 inputs with 10 classes.
Our method achieves competitive results across both of them.
In particular, on the complex task MNIST_FASION, our framework obtains an excellent accuracy improvement with 3.2%.
In the meanwhile, MNSIT also has the improvement with 1.15%.
American Psychological Association (APA)
Su, Jing& Yuan, Yafei& Liu, Chunmin& Li, Jing. 2020. Multitask Learning by Multiwave Optical Diffractive Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1202448
Modern Language Association (MLA)
Su, Jing…[et al.]. Multitask Learning by Multiwave Optical Diffractive Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1202448
American Medical Association (AMA)
Su, Jing& Yuan, Yafei& Liu, Chunmin& Li, Jing. Multitask Learning by Multiwave Optical Diffractive Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1202448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202448