Particle Swarm Optimization and Random Search for Convolutional Neural Architecture Search
Evolutionary and swarm intelligence-based algorithms are commonly used as the search strategy component in Neural Architecture Search (NAS). However, little work has been done to quantify the performance improvements that these nature-inspired metaheuristics offer compared to simpler baseline method...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/10577981/ |
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