Interested in joining a learning cohort for part 1 in early January?

I’m in, have already completed first three weeks but could wait for cohort. I also think its ideal to start fresh with the Pytorch version of Part 1 or switch when it is available. What do you think?

Count me in! I’m currently on Lesson 3, but happy to work with the cohort in Jan.

By the way – where’s the announcement of the new Pytorch version of Part 1? I must’ve missed it.

Hey, this sound great, count me in.
By the way I am still struggling to run jupyter notebook on GCP and I’ll start as soon as I figure it out.

This sound awesome, I’m in. I suggest creating a new Slack groups for January cohort for betting better communicating, especially for newcomers :wink:

@afrocart you can find the Pytorch choice in this annoucement, and also several discussions in the forum http://www.fast.ai/2017/09/08/introducing-pytorch-for-fastai/

@nok : thanks for sharing the link to GCP setup. Has anyone been able to customize this set up procedure with Python 3+ which is a requirement for Pytorch (from my understanding) ? I was able to install Pytorch+Anaconda+Jupyter+Cuda support on local to use with my desktop GPU, but i’m not at ease with cloud deployment. Oops just found this install script :https://gist.github.com/motiur/2e0cd3d35bc1c42b6e5d6046b65be6f4 , just need how to find out how to deploy that on GCP

I browsed the forum a bit to see the discussions on Pytorch and the upcoming course material. Here is one thread

one correction to my above post: It seems the upcoming course will be a Pytorch version of existing Part 1 (or 2?) .

There is also Pytorch version of Part1 available by a fellow student:

So this brings to the question :

  1. should i wait to start till next material is released ?
  2. Start learning pytorch from the already posted Part1 notebooks with Pytorch
  3. learn via the “old” keras notebooks and when the new material is available switch to that.

I am still sticking with option 3 to continue making a foundation of concepts. So that switching to pytorch will be easier (hopefully). Switching now to Pytorch seems a bit challenge to me when there are no video lectures available. (if anyone learning DL first time with Pytorch has experience plz share it).

Interested!

Interested also.

Interested! Thanks for arranging it

Interested, not sure about 10h per week but do try my best.
@cynosure new videos are released now, part 1 v2!

Found the new videos.

This is the unofficial release of the new content in case you didn’t see it.

Great initiative. I’m in! I will start looking at the material today.

@MintyOrb I am in MintyOrb. Can we create a group?.. on Slack or Google Groups or any other? thx G.

Yes, please count me in. Particularly if we are planning to try to use Part 1 Version 2 that was just soft-launched a few hours ago.

I started down that road this evening. Had some problems figuring out how to establish a starting point for this content. Anyone have an idea about the best way to get Part 1 V2 started?

There is this page for part 1 version 1.

http://course.fast.ai/start.html

This suggests getting started with AWS as part of Part 1 V1

If I’m reading this correctly it looks like the suggestion is to use Paperspace Setup .

What a great new year gift from Jeremy & Rachel. Count me in.

Count me also in guys

I’m in. I watched the v1 videos but only did some of the course work due to time constraints. The startup that I worked for just went under so I have plenty of time now :slight_smile:

Can we get a slack channel going for this?

@MintyOrb How should we organize this cohort? Slack or this forum or something else?

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