{"id":77321,"date":"2022-02-27T20:45:17","date_gmt":"2022-02-27T17:45:17","guid":{"rendered":"https:\/\/azbuki.bg\/?p=77321"},"modified":"2025-07-07T12:48:24","modified_gmt":"2025-07-07T09:48:24","slug":"convolutional-neural-networks-in-the-task-of-image-classification","status":"publish","type":"post","link":"https:\/\/mathinfo.azbuki.bg\/en\/uncategorized\/convolutional-neural-networks-in-the-task-of-image-classification\/","title":{"rendered":"Convolutional Neural Networks in the Task of Image Classification"},"content":{"rendered":"

Larisa Zelenina, <\/strong>
\nLiudmila Khaimina, Evgenii Khaimin, <\/strong>
\nD. Khripunov, Inga Zashikhina<\/strong>
\nNorthern (Arctic) Federal University named after M.V. Lomonosova (Russia)<\/em><\/p>\n

https:\/\/doi.org\/10.53656\/math2022-1-2-con<\/a><\/p>\n

Abstract.<\/strong> Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.
\nKeywords:<\/em> convolutional neural network; image classification problem; Python programming language; machine learning<\/p>\nLog in to read the full text<\/a>","protected":false},"excerpt":{"rendered":"

Larisa Zelenina, Liudmila Khaimina, Evgenii Khaimin, D. Khripunov, Inga Zashikhina Northern (Arctic) Federal University named after M.V. Lomonosova (Russia) https:\/\/doi.org\/10.53656\/math2022-1-2-con Abstract. Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using […]<\/p>","protected":false},"author":124332423426818,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"subtitle":"","format":"standard","video":"","gallery":"","source_name":"","source_url":"","via_name":"","via_url":"","override_template":"0","override":[{"single_blog_custom":"","parallax":"0","fullscreen":"0","sidebar":"","second_sidebar":"","sticky_sidebar":"0","share_position":"","share_float_style":"","show_share_counter":"0","show_view_counter":"0","show_featured":"0","show_post_meta":"0","show_post_author":"0","show_post_author_image":"0","show_post_date":"0","post_date_format":"","post_date_format_custom":"","show_post_category":"0","show_post_reading_time":"0","post_reading_time_wpm":"","show_post_tag":"0","show_prev_next_post":"0","show_popup_post":"0","number_popup_post":"1","show_author_box":"0","show_post_related":"0","show_inline_post_related":"0"}],"override_image_size":"0","image_override":[{"single_post_thumbnail_size":"","single_post_gallery_size":""}],"trending_post":"0","trending_post_position":"","trending_post_label":""},"jnews_primary_category":{"id":""}},"categories":[1],"tags":[],"yoast_head":"\nConvolutional Neural Networks in the Task of Image Classification - \u0410\u0437-\u0431\u0443\u043a\u0438<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/newspaper.azbuki.bg\/en\/uncategorized\/convolutional-neural-networks-in-the-task-of-image-classification\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Convolutional Neural Networks in the Task of Image Classification - \u0410\u0437-\u0431\u0443\u043a\u0438\" \/>\n<meta property=\"og:description\" content=\"Larisa Zelenina, Liudmila Khaimina, Evgenii Khaimin, D. Khripunov, Inga Zashikhina Northern (Arctic) Federal University named after M.V. Lomonosova (Russia) https:\/\/doi.org\/10.53656\/math2022-1-2-con Abstract. Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. 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