Recognition of the MNIST dataset with defective rows Научная публикация
| Конференция |
15th International Scientific and Technical Conference: Applied Mechanics and Systems Dynamics 09-11 нояб. 2021 , Омск |
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| Журнал |
Journal of Physics: Conference Series
ISSN: 1742-6588 , E-ISSN: 1742-6596 |
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| Вых. Данные | Год: 2022, Том: 2182, Номер: 1, Номер статьи : 012031, Страниц : DOI: 10.1088/1742-6596/2182/1/012031 | ||||
| Авторы |
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| Организации |
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Информация о финансировании (1)
| 1 | Омский филиал ФГБУН «Институт математики им. С.Л. Соболева СО РАН». | FWNF-2022-0003 |
Реферат:
One of the well-known classification problems in machine learning is the problem of recognizing handwritten numbers. This task is solved, since there are different neural networks that determine with fairly high accuracy which number is shown in the picture. In this paper, we will consider the recognition of handwritten digits subjected to certain deformations. © Published under licence by IOP Publishing Ltd.
Библиографическая ссылка:
Shevlyakov A.N.
, Berezin A.A.
Recognition of the MNIST dataset with defective rows
Journal of Physics: Conference Series. 2022. V.2182. N1. 012031 . DOI: 10.1088/1742-6596/2182/1/012031 Scopus РИНЦ OpenAlex
Recognition of the MNIST dataset with defective rows
Journal of Physics: Conference Series. 2022. V.2182. N1. 012031 . DOI: 10.1088/1742-6596/2182/1/012031 Scopus РИНЦ OpenAlex
Идентификаторы БД:
| Scopus: | 2-s2.0-85127645344 |
| РИНЦ: | 48426190 |
| OpenAlex: | W4221011221 |