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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/52956
Title: Neural networks fundamentals
Authors: Shmargun, A. E.
Keywords: материалы конференций;machine learning technology;neural networks;potential risks
Issue Date: 2023
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/52956
Appears in Collections:Актуальные вопросы экономики и информационных технологий : материалы 59-й научной конференции аспирантов, магистрантов и студентов (2023)

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