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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3682| Назва: | Convolutional neural networks for image classification |
| Автори: | Tarasenko, Andrii O. Yakimov, Yuriy V. Соловйов, Володимир Миколайович |
| Ключові слова: | machine learning deep learning neural network recognition convolutional neural network artificial intelligence |
| Дата публікації: | 9-лют-2020 |
| Видавництво: | Arnold E. Kiv, Serhiy O. Semerikov, Vladimir N. Soloviev, Andrii M. Striuk |
| Бібліографічний опис: | Tarasenko A. O. Convolutional neural networks for image classification [Electronic resource] / Andrii O. Tarasenko, Yuriy V. Yakimov, Vladimir N. Soloviev // Computer Science & Software Engineering : Proceedings of the 2nd Student Workshop (CS&SE@SW 2019), Kryvyi Rih, Ukraine, November 29, 2019 / Edited by : Arnold E. Kiv, Serhiy O. Semerikov, Vladimir N. Soloviev, Andrii M. Striuk. – P. 101-114. – (CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2546). – Access mode : http://ceur-ws.org/Vol-2546/paper06.pdf |
| Короткий огляд (реферат): | This paper shows the theoretical basis for the creation of convolutional neural networks for image classification and their application in practice. To achieve the goal, the main types of neural networks were considered, starting from the structure of a simple neuron to the convolutional multilayer network necessary for the solution of this problem. It shows the stages of the structure of training data, the training cycle of the network, as well as calculations of errors in recognition at the stage of training and verification. At the end of the work the results of network training, calculation of recognition error and training accuracy are presented. |
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| URI (Уніфікований ідентифікатор ресурсу): | http://ceur-ws.org/Vol-2546/paper06.pdf http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3682 https://doi.org/10.31812/123456789/3682 |
| ISSN: | 1613-0073 |
| Розташовується у зібраннях: | Кафедра інформатики та прикладної математики |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| paper06.pdf | article | 3.5 MB | Adobe PDF | Переглянути/Відкрити |
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