Open AccessNeural networks for the Recognition of X-ray Images of Ailments for Covid-19
Author(s) -
Lilia Diachenko,
Oleksandr Lazoriak,
Yurii Dobrovolsky,
Georgii Prokhorov,
Liliia Shumyliak
Publication year - 2022
Publication title -
journal of education, health and sport
Language(s) - English
Resource type - Journals
ISSN - 2391-8306
DOI - 10.12775/jehs.2022.12.06.002
Subject(s) - task (project management) , artificial neural network , computer science , artificial intelligence , covid-19 , state (computer science) , machine learning , pattern recognition (psychology) , algorithm , engineering , medicine , disease , systems engineering , pathology , infectious disease (medical specialty)
This investigation analyzes the current state of neural networks, considers the available types, optimizers used for training, describes their benefits and disadvantages. The task of computer vision is defined and the answer to the question why the use of neural networks is an important task today is given. The powerful neural network from Google was proposed as an example and its algorithm is described in detail. Studies have shown how to configure models to get high performance.