Presentation + Paper
15 March 2023 Training on the optical system: local search method
Author Affiliations +
Proceedings Volume 12438, AI and Optical Data Sciences IV; 1243807 (2023) https://doi.org/10.1117/12.2650147
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
Optical neural networks hold tremendous potential for energy efficiency and low latency. Despite this potential, the mismatch between simulation training and experimental setups can negatively impact the system’s performance. To address this issue, we present a local search method for training optical neural networks in the system. The implementation of this training method allows optical neural networks to reach their state-of-the-art performance levels within the constraints of current experimental settings.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zibo Hu, Behrouz Movahhed Nouri, Hamed Dalir, and Volker J. Sorger "Training on the optical system: local search method", Proc. SPIE 12438, AI and Optical Data Sciences IV, 1243807 (15 March 2023); https://doi.org/10.1117/12.2650147
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KEYWORDS
Neural networks

Education and training

Integrated optics

Evolutionary algorithms

Lithium

Artificial neural networks

Convolutional neural networks

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