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

Master thesis (2023)

Authors

T. Hu Mechanical Engineering

Contributors

R.A. Norte Dynamics of Micro and Nano Systems - Mechanical, Maritime and Materials Engineering (supervisor 1)
M.A. Bessa Team Marcel Sluiter - Mechanical, Maritime and Materials Engineering (supervisor 1)
A.M. Aragon Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering (coach)
Faculty
Mechanical Engineering
Copyright: © 2023 T. Hu
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Published Date

07-07-2023

Language

English

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Faculty

Mechanical Engineering

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.