conference-paper

Tunable Nonlinear Activation Functions for Optical Neural Networks

  • Conference on Lasers and Electro-Optics
Research footprint

At a glance

الاستشهادات
5
المراجع
4
Comments
0
Paper overview

Abstract

We introduce an electro-optic hardware platform for realizing optical nonlin earities and demonstrate that, as a nonlinear activation function, it can substantially improve the classification performance of optical neural networks.

Record transparency

Publication details

DOI
10.1364/cleo_si.2020.sm1e.2
OpenAlex
W3082288064
Document type
conference-paper
Language
EN
Source
Conference on Lasers and Electro-Optics
Last metadata update
المجتمع

Comments

تسجيل الدخول للانضمام إلى النقاش.

  1. لا توجد تعليقات بعد. ابدأ النقاش.