This is part 3 in a series. Part 1 is here and Part 2 is here. To announce Google’s AutoML, Google CEO Sundar Pichai wrote, “Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets … [Read more...] about Google’s AutoML: Cutting Through The Hype
AmoebaNet
An Opinionated Introduction To AutoML And Neural Architecture Search
This is part 2 in a series. Check out part 1 here and part 3 here. Researchers from CMU and DeepMind recently released an interesting new paper, called Differentiable Architecture Search (DARTS), offering an alternative approach to neural architecture search, a very hot area of machine learning right now. Neural architecture search has been heavily hyped in the last year, … [Read more...] about An Opinionated Introduction To AutoML And Neural Architecture Search