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.

Tags: ,

Tags:
Nathan Yau
http://flowingdata.com

Comments are closed.