[a_bonobo]

This is how the great fast.ai course begins - download VGG16, finetune the top layer with a single dense layer, get amazing results. The second or third class shows how to make the top layers a bit more complex to get even better accuracy.

[lugg]

Saving someone a Google.

http://course.fast.ai

[alexcnwy]

Can't recommend the course highly enough!

[yamaneko]

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.

[dirtyaura]

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.

[manibatra]

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.

[Steeeve]

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!