I really liked the style of the instructor (Kolter), and the reason I like this course very much is because each lecture is followed by an implementation video along with the notebook file.

In most Deep Learning courses, the implementation is left to TAs and neither recorded nor made available. This course is an exception. Another bright exception is NYU Deep Learning course [0] by Yann LeCun and Alfredo Canziani. In that course, too, all recitations ("Practica") are recorded and made available. And Canziani is a great teacher.

[0]: https://atcold.github.io/pytorch-Deep-Learning