Efficient Nonlinear Activation Function in Optical Neural Network

H. Zhang, L. X. Wan, M. Gu, X. D. Jiang, J. Thompson, H. Cai, S. Paesani, R. Santagati, A. Laing, G. Q. Lo, D. L. Kwong, L. C. Kwek, A. Q. Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

An efficient nonlinear activation function for optical neural network is proposed and demonstrated by executing complex-valued algorithms and intensity measurement. Great learning capability are achieved by the inherent properties of the complex-valued optical neural network.

Original languageEnglish
Title of host publication2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580767
Publication statusPublished - May 2020
Externally publishedYes
Event2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States
Duration: 10 May 202015 May 2020

Publication series

NameConference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume2020-May
ISSN (Print)1092-8081

Conference

Conference2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/TerritoryUnited States
CitySan Jose
Period10/05/2015/05/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Efficient Nonlinear Activation Function in Optical Neural Network'. Together they form a unique fingerprint.

Cite this