Deep learning in optics—a tutorial

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

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 languageEnglish
Article number123501
JournalJournal of Optics (United Kingdom)
Volume25
Issue number12
DOIs
StatePublished - 1 Dec 2023

Keywords

  • deep learning
  • deep neural networks
  • imaging
  • nanophotonics
  • optics

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