Efficient nonlinear activation function in optical neural network

• Main Authors: Zhang, Hui, Wan, Ling Xiao, Gu, Mile, Jiang, Xudong, Thompson, Jayne, Cai, Hong, Paesani‬‪, Stefano, Santagati, ‪Raffaele, Laing, ‪Anthony, Lo, Guo Qiang, Kwong, Dim Lee, Kwek, Leong Chuan, Liu, Ai Qun
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering; Optical Neural Network; Nonlinear Activation Function
• Online Access: https://hdl.handle.net/10356/151460
• Institution: Nanyang Technological University

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.