NASGraph: A Novel Graph-based Machine Learning Method for NAS Featuring Lightweight (CPU-only) Computation and is Data-Agnostic and Training-Free

Designing state-of-the-art deep learning models is an incredibly complex challenge that researchers have been tackling using an approach called Neural Architecture Search (NAS). The goal of NAS is to automate the discovery of optimal neural network architectures for a given task by evaluating thousands of candidate architectures against a performance metric like accuracy on a […]

The post NASGraph: A Novel Graph-based Machine Learning Method for NAS Featuring Lightweight (CPU-only) Computation and is Data-Agnostic and Training-Free appeared first on MarkTechPost …

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