Can't recommend this highly enough, if for no other reason than to provide some context to help the OP from getting trapped in the "deep learning is all you need" echo-chamber. Sure ANN's and DL are great and do amazing things, but until it's proven that they really are the "be all, end all" (something I suspect we're far from) then it makes sense to dedicate at least some cycles to considering other paradigms.

The big book of stuff that doesn't work.

Everybody is talking about the need to incorporate knowledge representation and reasoning into the statistical models in vogue currently. Russell&Norvig will forever be relevant. Those guys are at the forefront of research in the academy and industry respectively. They have a mature perspective.

Prop it up with a small stick and put some cracked walnuts below to catch mice with it.