Deep learning in optics—a tutorial

Barak Hadad; Sahar Froim; Erez Yosef; Raja Giryes; Alon Bahabad

doi:10.1088/2040-8986/ad08dc

Deep learning in optics—a tutorial

Barak Hadad, Sahar Froim, Erez Yosef, Raja Giryes, Alon Bahabad

Tel Aviv University

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Article number	123501
Journal	Journal of Optics (United Kingdom)
Volume	25
Issue number	12
DOIs	https://doi.org/10.1088/2040-8986/ad08dc
State	Published - 1 Dec 2023

Keywords

deep learning
deep neural networks
imaging
nanophotonics
optics

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics

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10.1088/2040-8986/ad08dc

Cite this

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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.",

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AU - Yosef, Erez

AU - Giryes, Raja

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Y1 - 2023/12/1

N2 - 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.

AB - 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.

KW - deep learning

KW - deep neural networks

KW - imaging

KW - nanophotonics

KW - optics

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DO - 10.1088/2040-8986/ad08dc

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Deep learning in optics—a tutorial

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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