How does the course content and rigor compare to the Stanford deep learning for NLP course? From a cursory glance at the practicals, it seems like the Stanford version has more variety and depth of problems.
If you're well-versed in DL + nuances of text-mining, then the Stanford one might be great. But, if you're a beginner like me, you'll find it a bit hard to catch up [1]. The Stanford assignments + Tensorflow class were very helpful. The assignments especially really get you thinking.
[1] I took the Stanford one and went through the videos (both 2015,2016).
