What is neural architecture search? AutoML for deep learning

Neural architecture search is the task of automatically finding one or more architectures for a neural network that will yield models with good results (low losses), relatively quickly, for a given dataset. Neural architecture search is currently an emergent area. There is a lot of research going on, there are many different approaches to the task, and there isn’t a single best method generally — or even a single best method for a specialized kind of problem such as object …

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