Taught concepts were highly interesting and the video lectures were really great. They were very clear and pedagogical. Most TAs had pretty good walkthroughs too.

Why I cannot rate a perfect 5/5 is because many of the lab assignments contained warts and/or misleading instructions that need polish. However, as the course organizer has been frequenting the discussion forum and been very quick to adjust instructions when pointed out by participants, I'm sure the course has already improved greatly. My experience was a bit confused at times however, and I wasn't sure if I had done mistakes or if the automatic judge has bugs, at times.

Overall, I highly recommend this course to anyone interested in learning a modern API for generative modelling. I'm sure I'll come back to the more difficult concepts like the autoregressive trick in normalizing flows, and the change of variable formula, and hopefully having done this course will make those concepts a bit more familiar next time around for me.

Thanks for providing this course material! The future is truly now for online education. :D

This was a wonderful introduction, not only to TensorFlow probability but also to the basic fundamentals of probabilistic deep learning. This is also, to the best of my knowledge, the only MOOC that gives a somewhat holistic overview of this domain. I'd totally recommend this course to any beginner looking to quickly pick up tf probability.

Very good. Liked this course a lot, even though I recognize I should have had a better a background before taking it.

Really good course touching some really recent research in deep learning.