i was quite put off by it. i feel like the teaching technique is pretty poor and the focus in on all the wrong things. mainly the tech gets in the way for learning. i don't want to figure out how to learn numpy when i'm trying to learn how to understand deep learning, that in itself is hard enough. i quite after a week (i did the stanford course first and this was going to be my second).

i would recommend the coursera course by andrew ng. i had an amazing time. the code stays out of your way and he walks you through the algorithms and explains the theory very well.

i just started the fast.ai by jeremy howard, and literally have been blown away but the course. it is AMAZING! by lesson 3 i'm able to build cnn models and score on top 20% in kaggle competitions. not bad for a complete novice. HIGHLY RECOMMENDED.

once im done with the fast.ai course i may look back around to google's deep learning course. i think it may be easier for more experienced users to digest its info.

https://www.coursera.org/learn/machine-learning

http://course.fast.ai/

Edit: added fast.ai link

Felt very rushed for a beginner, okay if you have some background.

Personally, I found Stanford dl courses (image classification, nlp) to be much more suitable for beginners.