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