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I'm skimming through the content and it seems really great! I'm interested in the last lesson (7-Exotic CNN Arch), but I'm afraid of missing other cool stuff in past lessons.

What do you suggest for someone who has experience with Deep Learning?

EDIT: found this wiki with the course notes: http://wiki.fast.ai/index.php/Main_Page

One can use it as a guide to avoid missing anything.

I think one of the strengths of the course is that Jeremy shows parts of the process of working on a ML problem. If you have time, I recommend watching earlier lessons, even if you know the theoretical aspects of the content covered.

Same!! On lesson 2 and already feel like I know so much! The top down approach to learning is great! Will actually read the book "Making Learning Whole" that inspired them to follow this approach.

The 30 minute overview has me excited about going through it. I really like how they have structured it. Thanks to all for recommending it!