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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Opis bibliograficzny

1. autor:	Kosmas Deligkaris
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2024-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Neural architecture search particle swarm optimization neuroevolution convolutional neural networks
Dostęp online:	https://ieeexplore.ieee.org/document/10577981/
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