| DC Field | Value | Language |
|---|
| dc.contributor.author | Shmargun, A. E. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2023-09-26T09:24:39Z | - |
| dc.date.available | 2023-09-26T09:24:39Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Shmargun, A. E. Neural networks fundamentals/ A. E. Shmargun // Актуальные вопросы экономики и информационных технологий : сборник тезисов и статей докладов 59-ой научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 17–21 апреля 2023 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2023. – С. 421–423. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/52956 | - |
| dc.description.abstract | An overview of machine learning technology with a focus on supervised and unsupervised learning is provided in this paper.
Neural networks and their various categories, such as Feedforward, Recurrent, Convolutional and Long Short-Term Memory Networks
are introduced as well. The importance of using machine learning responsibly due to its potential risks is emphasized. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | machine learning technology | en_US |
| dc.subject | neural networks | en_US |
| dc.subject | potential risks | en_US |
| dc.title | Neural networks fundamentals | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 59-й научной конференции аспирантов, магистрантов и студентов (2023)
|
