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Insights from the Use of Previously Unseen Neural Architecture Search Datasets
April 4, 2024, 4:41 a.m. | Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
cs.LG updates on arXiv.org arxiv.org
Abstract: The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is required to identify the best neural network. This goes against the hope of removing the need for experts. Neural Architecture Search (NAS) offers a solution to this by automatically identifying the best architecture. However, to date, NAS work has focused on a small set of …
abstract architecture arxiv cs.ai cs.cv cs.lg datasets deep learning expert identify insights leads network networks neural architecture search neural network neural networks performance possibility search solve type
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