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The Problem of Images’ Classification: Neural Networks

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Assoc. Prof. Larisa Zelenina, Assoc. Prof. Liudmila Khaimina,
Evgenii Khaimin, D. Khripunov, Assoc. Prof. Inga Zashikhina
Northern (Arctic) Federal University named after M.V. Lomonosova (Russia)

https://doi.org/10.53656/math2021-3-4-the

Abstract. The article discusses the employment of an artificial neural network for the problem of image classification. Based on the compiled dataset, a convolutional neural network model was implemented and trained. An application for images classification was created. The practical value of the developed application allows an efficient use of a smartphone camera’s storage facilities. The article presents a detailed methodology of the application’s development.
Keywords: image classification; convolutional neural network; Python programming language libraries; graphical user interface (GUI)

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    • Demographic Situation and Labour Market in Blagoevgrad and Kyustendil Districts
    • Proceeding of 1st International Conference on Environmental Protection and Disaster RISKs
    • Bulgaria - North Macedonia - Slovenia: Intercultural Dialogues in XXI Century
    • Europe’s Core-Periphery Relations and Horizontal Disparities
    • Bulgaria - Macedonia - Slovenia: Intercultural Dialogues in the 21st Century, Part II
    • Local and Regional Aspects of Natural Hazards
    • ADAPTED METHODOLOGY OF HISTORY EDUCATION
    • VASIL LEVSKI. FROM THE CURVES OF LITERARY ICONOGRAPHY
    • Bulgaria - Macedonia - Slovenia: Intercultural Dialogues in the 21st Century
    • Gender World In Different Cultural Models
    • ADAPTED METHODOLOGY OF HISTORY EDUCATION 2
    • THEORETICAL MODEL FOR A CUMULATIVE LEXICOGRAPHING OF WORDS OF FOREIGN ORIGIN IN THE BULGARIAN LANGUAGE
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