The level of hype around deep learning has become so high, there's no way it can live up to the expectations. No matter how much it delivers
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http://smerity.com/articles/2016/architectures_are_the_new_feature_engineering.html … was a (technical) first pass. Next planned post is vanishing / exploding gradients. Maybe after that?
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@etzioni had a great article recently that's less technical, so likely to hit a broader audience, at http://www.wired.com/2016/06/deep-learning-isnt-dangerous-magic-genie-just-math/?mbid=social_twitter …
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