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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