Improve the optical neural network structure by using neural architecture search for visual classification tasks

Master Thesis (2023)
Author(s)

Talon H. (TU Delft - Mechanical Engineering)

Contributor(s)

R.A. Norte – Mentor (TU Delft - Dynamics of Micro and Nano Systems)

M.A. Bessa – Mentor (TU Delft - Team Marcel Sluiter)

A.M. Aragon – Coach (TU Delft - Computational Design and Mechanics)

More Info
expand_more
Publication Year
2023
Language
English
Graduation Date
07-07-2023
Awarding Institution
Programme
Mechanical Engineering
Downloads counter
142
Collections
thesis
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This research explores the integration of Neural Architecture Search with Optical Neural Networks to optimize the efficiency and performance in traditional visual image classification tasks. The study introduces a new approach that applies Neural Architecture Search, a technique traditionally used to optimize the performance of Artificial Neural Networks, to the field of Optical Neural Networks.

Files

Tud_with_cover_ms.pdf
(pdf | 22.7 Mb)
License info not available