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When I studied math and physics, I had big textbooks of practice problems. The tentation was always to jump to the solution section and memorize the method -- if you do it for enough problems, you should be able to pattern-match your way through any new problem, right? Wrong.
It's much more effective to labor your way through your own original solution, and only look at the official solution afterwards. If you don't it, you'll be completely unprepared to approach something actually new
The same is often true with research: try to reinvent first, look up the literature afterwards. If you want to be able to produce original thoughts, you need to create space for them to develop, instead of always filling up empty pockets of concept space with ready-made solutions
I think there's value to getting good at applications first, then back-filling in the theory. When you have experience with training NN's already, you'll have a much better mental scaffold for understanding the math behind backprop, activation functions, etc.
This is the only sustainable method. Unless you don't want to challenge yourself going forward, pattern-matching eventually falls off a cliff. Good reminder.
My philosophy for the Rosalind problem set, which makes for slow progress, but the knowledge you get from bootstrapping your own solution can’t be gotten another way.
There’s also the middle ground of analyzing worked examples. That can give you a deeper understanding than rotely memorizing the solutions while also reducing the time and mental noise of hitting your own dead ends.https://en.wikipedia.org/wiki/Worked-example_effect …
That makes sense, though one could argue you would not be as prepared to face dead ends in your bleeding edge research endeavors 
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