SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics

Neural Architecture Search (NAS) algorithms are intended to remove the burden of manual neural network design, and have shown to be capable of designing excellent models for a variety of well-known problems. However, these algorithms require a variety of design parameters in the form of user configu...

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Hauptverfasser:	Geada, Rob, McGough, Andrew Stephen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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