UDC 004.8
DOI: 10.36871/2618-9976.2023.05.009

Authors

Dmitry A. Popov,
Graduate of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia
Vladimir A. Kvasha,
Director of the Yaroslavl branch of the Financial University under the Government of the Russian Federation, Yaroslavl Branch of the Financial University under the Government of the Russian Federation, Yaroslavl, Russia
Elena I. Voevodina,
Senior Lecturer of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia
Alexey D. Burykin,
Professor of the Department of Economics and Management of the Academy of Labor and Social Relations, Academy of Labor and Social Relations, Moscow, Russia

Abstract

This article discusses the relevance of the use of neural networks in image recognition, various structures of neural networks, such as convolutional, multi–layered and multitasking neural networks, their areas of application and provides examples of the use of different structures in solving various tasks.

Keywords

Neural networks, Neural network structure, Convolutional neural networks, Multilayer neural networks, Artificial intelligence