Transverse-layer partitioning of artificial neural networks for image classification

Transverse-layer partitioning of artificial neural networks for image classification

We discuss issues of modular learning in artificial neural networks and explore possibilities of the partial use of modules when the computational resources are limited. The proposed method is based on the ability of a wavelet transform to separate information into high- and low-frequency parts. Usi...

Full description

Saved in:
Bibliographic Details
Main Authors: N.A. Vershkov, M.G. Babenko, N.N. Kuchukov, V.A. Kuchukov, N.N. Kucherov
Format: Article
Language:English
Published: Samara National Research University 2024-04-01
Series:Компьютерная оптика
Subjects:
wavelet transform
artificial neural networks
convolutional layer
orthogonal transforms
modular learning
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-2/480218e.html
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items