Silicon Photonics for Training Deep Neural Networks

Bhavin J. Shastri,Matthew J. Filipovich,Zhimu Guo,Paul R. Prucnal,Sudip Shekhar,Volker J. Sorger

2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)（2022）

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摘要

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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关键词

Neural Network,Silicon Photonics,Deep Learning,Training Algorithm,Neural Network Training,Supervised Learning Algorithms,Hardware Accelerators,Backward Pass,Phase Alignment,Large Neural Networks,Area Of Machine Learning,View Synthesis,CIFAR-100 Dataset,Neumann Architecture,Optimal Network Parameters

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