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For Neural Networks, I'm currently working along with Stanford's CS231N: http://cs231n.stanford.edu/

But I wouldn't really be able to keep up with it if I hadn't taken Ng's Machine Learning course first. The basics it teaches aren't out of date at all, and there's lots of regular old ML stuff in there that is useful now and hasn't changed in the interim apart from maybe which library you might pick.



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