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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