Abstract
Abstract
In recent years, machine learning and deep neural networks applications have experienced a remarkable surge in the field of physics, with optics being no exception. This tutorial aims to offer a fundamental introduction to the utilization of deep learning in optics, catering specifically to newcomers. Within this tutorial, we cover essential concepts, survey the field, and provide guidelines for the creation and deployment of artificial neural network architectures tailored to optical problems.
Subject
Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Cited by
2 articles.
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1. On the benefit of attention in inverse design of thin films filters;Machine Learning: Science and Technology;2024-08-05
2. 共聚焦激光扫描检眼镜研究进展与应用（特邀）;Laser & Optoelectronics Progress;2024