Live data from Hacker News

Deep Learning for Coders – Launching Deep Learning Part 2

fast.ai

41–50 of 94 posts

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#41
post #39

My feelings on Part 1: I felt like the setup of the first part was at time a little frustrating, since I started it during a time when Keras had switched to a newer version which wasn't compatible some of the utility code that was written. Add this to the newbie factor to notebooks, and it was a pretty rough first week or so to setup and get actual learning done. It took me a bit of time to realize notebooks were mor…

[deleted]

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#42
post #39

My feelings on Part 1: I felt like the setup of the first part was at time a little frustrating, since I started it during a time when Keras had switched to a newer version which wasn't compatible some of the utility code that was written. Add this to the newbie factor to notebooks, and it was a pretty rough first week or so to setup and get actual learning done. It took me a bit of time to realize notebooks were mor…

[deleted]

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#43
post #39

My feelings on Part 1: I felt like the setup of the first part was at time a little frustrating, since I started it during a time when Keras had switched to a newer version which wasn't compatible some of the utility code that was written. Add this to the newbie factor to notebooks, and it was a pretty rough first week or so to setup and get actual learning done. It took me a bit of time to realize notebooks were mor…

Which book are you referring to?

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#44
post #39

My feelings on Part 1: I felt like the setup of the first part was at time a little frustrating, since I started it during a time when Keras had switched to a newer version which wasn't compatible some of the utility code that was written. Add this to the newbie factor to notebooks, and it was a pretty rough first week or so to setup and get actual learning done. It took me a bit of time to realize notebooks were mor…

I had the opposite experience. I'm basically as non-math as you can get and still be in the sciences, and I found the classes quite intelligible (on a fast watch without the notebook, and then a slow watch with the notebook for each class).

FWIW, I think the supplementary material wasn't strictly necessary from a 'using the libraries' point of view. I'll never contribute to this field, but I feeling like Jeremy's explanation were conceptually helpful if not rigorous.

For me, the order was: lesson, notebook+lesson, wiki + supplementary material if something wasn't making sense, and the discussion board if all else failed. That discussion board is basically useless unless you're taking the class in real time I think, which has been my experience for all MOOCs.

Different strokes for different folks.

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#45

Earlier quoted context omitted.

If you have the hardware, you can do without an AWS account (you might need to be an "expert" to interpret the instructions to run on your own hardware instead of AWS). I used my gaming rig with a 1080 GTX Ti card.

Why? Why can't I just do it with my crappy hardware, and it take longer?

You can. Tensorflow has a CPU implementation. But, it's not a little longer, it's incredibly longer.

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#46

Earlier quoted context omitted.

Why? Why can't I just do it with my crappy hardware, and it take longer?

You can. Tensorflow has a CPU implementation. But, it's not a little longer, it's incredibly longer.

Like 5h on an upper-class GPU vs 50 days on the fastest CPU.

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#47
I somehow forgot to mention in the post - we're teaching a totally updated part 1 course (keras 2, python 3.6, Tensorflow 1.3, recent deep learning research results) starting end of October in San Francisco. Detail here: https://www.usfca.edu/data-institute/certificates/deep-learn...

I'll go edit the post with this info now - but figured I'd add a comment here for those that have already read it.

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#48
post #39

My feelings on Part 1: I felt like the setup of the first part was at time a little frustrating, since I started it during a time when Keras had switched to a newer version which wasn't compatible some of the utility code that was written. Add this to the newbie factor to notebooks, and it was a pretty rough first week or so to setup and get actual learning done. It took me a bit of time to realize notebooks were mor…

If you stick to the setup approach in the videos (using the AMIs we created for the course) all the software will be the correct version to go with the notebooks and videos. If you try to use different versions of the software, it'll be a lot more work.

CS231n is great and I'm glad you checked it out. There isn't really anything nearly as good online unfortunately for the other areas we covered (NLP, collaborative filtering, etc). CS231n is not as code-oriented as the fast.ai course, and doesn't try to get you to the point you can replicate state of the art results - but it's got great conceptual content and Karpathy is a terrific technical communicator. I think the two courses go hand in hand quite nicely!

Re: Deep Learning for Coders – Launching Deep Learning Part 2

#49
post #40
post #35

Earlier quoted context omitted.

Apparently they're getting rid of annotations.

Ok then cards or whatever annotations have been replaced by, but something! https://creatoracademy.youtube.com/page/lesson/cards

I had high hopes for them, but it turns out it just puts a tiny 'i' icon in the corner of the screen, with no way (AFAICT) to draw attention to it.

When we redo part 1 in October, we'll try to find a way to incorporate a clear link to an errata page or FAQ in each video, so that anyone with issues has one place to go.

Post reply on HN