On the evolution of recurrent neural systems

The evolution of neural network architectures, first of the recurrent type and then with the use of attention technology, is considered. It shows how the approaches changed and how the developers’ experience was enriched. It is important that the neural networks themselves learn to understand the de...

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Bibliographic Details
Main Authors: Gennadii Abramov, Ivan Gushchin, Tetiana Sirenka
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2024-12-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
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Online Access:http://journal.iasa.kpi.ua/article/view/322523
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