This is one of those chance in a lifetime courses you have to get to learn from the greats. Geoffrey Hinton was one of the most important and influential researchers to work on artificial intelligence and neural nets back in the 80's. Currently he is working with Google in their AI/deep learning initiatives.
The lectures are complex but Geoffrey does a really good job of providing detailed explanations. The course is mostly theory based and heavy on calculus and linear algebra with only a few programming exercises. I would categorize this within the same space as Yaser Abu-Mostafa's Learning From Data.
There were 15 total quizzes of which you only had 2 attempts. Since i was had very little experience with Calculus and was still cutting my teeth on Python i had to let this one go. I plan on taking this again at some point in the future, but it looks the course has been archived.