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