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This is very well done, hitting on some pain points and explaining how to work around them.

I have devoted close to 100% of my paid working time on deep learning for the last six years (most recently managing a deep learning team) and not only has the technology advanced rapidly but the online learning resources have kept pace.

A personal issue: after seven years of not updating my Java AI book, I am taking advantage of free time at home to do a major update. New material on deep learning was the most difficult change because there are so many great resources, and there is only so much you can do in one long chapter. I ended up deciding to do just two DL4J examples and then spending most of the chapter just on advice.

The field of deep learning is getting saturated. Recently I did a free mentoring session with someone with a very good educational background (PhD from MIT) and we were talking about needing specializations and specific skills, just using things like DL, cloud dev ops, etc. as necessary tools, but not always enough to base a career on.

Definitely it can help peoples’ careers working through great online DL material, but great careers are usually made by having good expertise in two or three areas. Learn DL but combine that with other skills and domain knowledge.



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