conference-paper

Tunable Nonlinear Activation Functions for Optical Neural Networks

  • Conference on Lasers and Electro-Optics
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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.

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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
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