Neural Architecture Search (NAS) is the process of discovering the best architecture a neural network should use for a specific need. In the past, programmers had to tweak neural networks to learn what works well manually. NAS automated that process, allowing artificial intelligence (AI) systems to discover more complex architectures.
In essence, NAS uses various tools and methods that test and evaluate huge architecture volumes utilizing a search strategy to choose one that best meets the programmer’s objectives.