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).

Authors
Conference proceedings
Publisher
CEUR-WS
Language
English
Pages
272-275
Status
Published
Volume
2507
Year
2019
Organizations
  • 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
Keywords
Data analysis; Machine learning; Neural networks
Date of creation
10.02.2020
Date of change
01.03.2021
Short link
https://repository.rudn.ru/en/records/article/record/56447/
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