conference-paper

Implementing a deep neural network using a single nonlinear element and delayed feedback

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Abstract

Optically implemented neural networks promise faster speeds and lower costs. However, large size networks remain challenging. We derive how to emulate a deep neural network with just a single nonlinear element using delayed feedback signals.

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Publication details

DOI
10.1364/nlo.2023.m4a.26
OpenAlex
W4386440265
Document type
conference-paper
Language
EN
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