Open AccessDEEP LEARNING TECHNOLOGY IN PATTERN RECOGNITION
Author(s) -
O. Oksyuta,
Le Xu,
R. Lopatin
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.34220/mamsp_89-94
Subject(s) - facial recognition system , computer science , convolutional neural network , artificial intelligence , neocognitron , pattern recognition (psychology) , face (sociological concept) , masking (illustration) , deep learning , speech recognition , artificial neural network , process (computing) , time delay neural network , art , social science , sociology , visual arts , operating system
The article discusses the methods of face recognition based on convolutional neural net-works, the problems of face recognition in the presence of interference or face masking, the main stages of training neural networks and the process of actual recognition.