worth noting this is reinforcement-learning specific; fascinating field, getting a lot of press the last few years, but best considered an important and distinct field that just happens to intersect with ML/DL. I'd suggest understanding DL on simpler problems (well-understood CV/NLP problems) before wading into using it in reinforcement learning.