Optical Neural Networks of Handwriting Recognition Using Optical Scattering Unit System
- Resource Type
- Conference
- Authors
- Long, Xilin; Guo, Jia; Hao, Ran; Dong, Xiaowen; Li, Chong; He, Jian-Jun
- Source
- 2020 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) Information Photonics and Optical Communications (IPOC), 2020 Asia Communications and Photonics Conference (ACP) and International Conference on. :1-3 Oct, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Handwriting recognition
Optical interconnections
Optical computing
Optical network units
Optical scattering
Nonlinear optics
Photonics
- Language
We simplify the classic convolutional neural network (CNN) of handwriting recognition - LetNet-5, and achieve classification based on the dataset MNIST by using an interconnected system of inverse-designed optical scattering units. © 2020 The Author(s)