conference-paper

Silicon Photonics for Training Deep Neural Networks

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Abstract

Analog photonic networks as deep learning hardware accelerators are trained on standard digital electronics. We propose an on-chip training of neural networks enabled by a silicon photonic architecture for parallel, efficient, and fast data operations. © 2022 The Author(s)

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Publication details

DOI
10.1109/cleo-pr62338.2022.10432530
OpenAlex
W4392026366
Document type
conference-paper
Language
EN
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