Archai can design your neural network with state-of-the-art neural architecture search (NAS)

The goal of neural architecture search (NAS) is to have computers automatically search for the best-performing neural networks. Recent advances in NAS methods have made it possible to build problem-specific networks that are faster, more compact, and less power hungry than their handcrafted counterparts. Unfortunately, many NAS methods rely on an array of tricks that aren’t always documented in a way that’s easy to discover. While these tricks result in neural networks with greater accuracy, they often cloud the performance of the search algorithm themselves. Since different NAS methods use different enhancements and some none at all, NAS techniques […]


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