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Extracting information that isn’t there is a current deep learning mania
Or embedding one-off discrete objects on a curve with no chance of generalization (i.e. most Deep RL). Lots of people are playing with the tech with no idea about the first principles that make it work
What first principles would you recommend for someone to start with?
replying to follow
Are this principles present in deep learning with python? I got the MEAP and I'm going through it
Yes, chapters 5 and 14 for the most part, but generally the entire book
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