Structural approach to the deep learning method

According to the modest opinion of the authors, data science, machine learning, neural networks are extremely relevant areas of science. Around them there was an expectation that attracted lovers of quick results. This does not detract from the importance and benefit of these areas of science. In the paper, the authors took an attempt to briefly describe their experience in organizing work with data analysis using neural networks and machine learning methods. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Авторы
Редакторы
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Сборник материалов конференции
Издательство
CEUR-WS
Номер выпуска
-
Язык
Английский
Страницы
272-275
Статус
Опубликовано
Подразделение
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Ссылка
-
DOI
-
Номер
-
Том
2507
Год
2019
Организации
  • 1 Department of Applied Probability and Informatics, Peoples’Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • 2 Laboratory of Information Technologies, Joint Institute for Nuclear Research, 6 Joliot-Curie, Dubna, Moscow region, 141980, Russian Federation
  • 3 Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 6 Joliot-Curie, Dubna, Moscow region, 141980, Russian Federation
  • 4 Technical University of Košice, Košice, Slovakia
Ключевые слова
Data analysis; Machine learning; Neural networks
Дата создания
10.02.2020
Дата изменения
10.02.2020
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/56447/