Presentation
5 March 2021 Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning
Author Affiliations +
Abstract
This Conference Presentation, “Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning,” was recorded for the Photonics West 2021 Digital Forum.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chenghao Feng, Jiaqi Gu, Zhoufeng Ying, Zheng Zhao, David Pan, and Ray T. Chen "Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning", Proc. SPIE 11690, Smart Photonic and Optoelectronic Integrated Circuits XXIII, 116900I (5 March 2021); https://doi.org/10.1117/12.2578009
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KEYWORDS
Neural networks

Integrated optics

Photonic integrated circuits

Machine learning

Optical components

Phase shifts

Reliability

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