Two architectures of neural networks in distance approximation
In this research paper, we examine recurrent and linear neural networks to determine the relationship between the amount of data needed to achieve generalization and data dimensionality, as well as the relationship between data dimensionality and the necessary computational complexity. To achieve t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gdańsk University of Technology
2025-07-01
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| Series: | TASK Quarterly |
| Subjects: | |
| Online Access: | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/3416 |
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