A convolutional neural network training algorithm based on frequency domain transform

Zhichen Wang; Longliang Chen

doi:10.1117/12.3051686

18 November 2024 A convolutional neural network training algorithm based on frequency domain transform

Zhichen Wang, Longliang Chen

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340302 (2024) https://doi.org/10.1117/12.3051686
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

This article proposes a convolutional neural network training algorithm based on frequency domain transformation to address the issues of high computational complexity and complex training processes in convolutional neural networks. Through experimental verification, this algorithm can further improve the accuracy of neural networks compared to existing frequency domain transformation algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhichen Wang and Longliang Chen "A convolutional neural network training algorithm based on frequency domain transform", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340302 (18 November 2024); https://doi.org/10.1117/12.3051686

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE