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Gunnar_Zarncke comments on [Link] AlphaGo: Mastering the ancient game of Go with Machine Learning - Less Wrong Discussion
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The key point is that machine learning starts to happen at the hyper-parameter level. Which is one more step toward systems that optimize themselves.
A step which was taken a long time ago and does not seem to have played much of a role in recent developments; for the most part, people don't bother with extensive hyperparameter tuning. Better initialization, better algorithms like dropout or residual learning, better architectures, but not hyperparameters.