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Cutting Edge Deep Learning for Coders, Part 2

course.fast.ai

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Re: Cutting Edge Deep Learning for Coders, Part 2

#2
Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/

Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Re: Cutting Edge Deep Learning for Coders, Part 2

#3
I can't say enough good things about the fast.ai courses. They may not be for everyone but they are definitely for me. The teaching style is a perfect match for my learning style. The style is to get some code working and then dive deeper and deeper to understand it better and better.

Note this link is for part 2 of the course which is significantly more advanced than part 1. Start with part 1 if if you are new.

Re: Cutting Edge Deep Learning for Coders, Part 2

#4
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hi Jeremy - For someone who doesn't like to watch lectures, will you guys ever be releasing a textbook?

Re: Cutting Edge Deep Learning for Coders, Part 2

#5
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hey Jeremy, thanks for making these courses! I was curious if you could offer any points of comparison between the fast.ai courses and the Udacity ML nanodegree course (or any other MOOCs you have opinions about).

Re: Cutting Edge Deep Learning for Coders, Part 2

#6
post #4
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hi Jeremy - For someone who doesn't like to watch lectures, will you guys ever be releasing a textbook?

I might be helping author a textbook based on our upcoming introduction to machine learning MOOC. Which maybe one day would lead to a deep learning book - but that would be years away!

(BTW, I used to think I didn't like videos for learning, but actually I now think some material works best in this format. E.g. in this case we're walking through interactive notebooks, and you can follow along too. Some of the material is animated, and often I'm building up drawings as I talk. Maybe it won't be for you, but it might be worth giving it a go to see...)

Re: Cutting Edge Deep Learning for Coders, Part 2

#7
post #5
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hey Jeremy, thanks for making these courses! I was curious if you could offer any points of comparison between the fast.ai courses and the Udacity ML nanodegree course (or any other MOOCs you have opinions about).

I haven't taken the course - and I'm hopelessly biased anyway so you shouldn't trust my comments. However a lot of our students have done it. Here's a couple of their comments (search the linked thread if you want more):

- http://forums.fast.ai/t/how-has-your-journey-been-so-far-lea...

- http://forums.fast.ai/t/how-has-your-journey-been-so-far-lea...

Some folks have taken the Udacity flying car and self-driving car courses as well as fast.ai, and had success building on that combination, e.g. http://forums.fast.ai/t/meet-greet-thread-introduce-yourself...

Re: Cutting Edge Deep Learning for Coders, Part 2

#8
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hi Jeremy.

Just wanted to ask a quick question if you recommend any prerequisites before taking this course? I am a second year Computer Science student looking to get into AI, and I was just wondering if this would be a good starting point for me, or should I take some other courses and learn something else before?

Thank you.

Re: Cutting Edge Deep Learning for Coders, Part 2

#10
post #5
post #2

Jeremy from fast.ai here. I've posted a summary of the course materials for anyone who's interested : http://www.fast.ai/2018/05/07/part2-launch/ Let me know if you have any questions about the material or approach. There's also a discussion for the course here: http://forums.fast.ai/c/part2-v2

Hey Jeremy, thanks for making these courses! I was curious if you could offer any points of comparison between the fast.ai courses and the Udacity ML nanodegree course (or any other MOOCs you have opinions about).

I am not Jeremy but I have taken part in the current course and also took some lessons by Siraj (who also does lessons at udacity), Andrew NG, and Karpathy. I think all of them are awesome teachers. Like Siraj's lessons, the fastai course is full of practical examples, whereas Ng/Karpathy's courses are more theoretical. What makes the fast.ai course unique compared to Siraj (who covers a lot of topics very briefly) is that Jeremy delves into depth, taking a long time explaining things, so you have a lot of opportunities to understand what's going on. In the 2018 course there is actually not that much different content compared to the 2017 course, rather Jeremy took the time and tried to make everything easier for everyone to understand and built a better python library. Also another unique point about Jeremy is that he and Rachel want not only to teach people but rather inspire a community of people working together in teams. The fast.ai library will not be just a project for the course, it will be something that a lot of people will use and contribute to to make pytorch better.
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