What a neural network sees

March 8, 2018

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Neural networks can feel like a black box, because, well, for most people they are. Supply input and a computer spits out results. The trouble with not understanding what goes on under the hood is that it’s hard to improve on what we know. It’s also a problem when someone uses the tech for malicious purposes, as people are prone to do.

So, folks from Google Brain break down the structures of what makes these things work.