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thanks. I'd also like to suggest publishing a docker image as well for course software. Like you I like to also read / experiment when travelling and an offline workflow can often be handy.



There's a docker image available : https://github.com/deeprig/fastai-course-1 . This is from the same excellent person who created http://crestle.com , which has all the notebooks and data files for the course pre-installed.

(You can also install everything locally using the setup scripts available on the course github repo.)


It might be worth it to do an updated version of course #1 at some point, many of the examples will not work now if you try to follow along with the video because libraries (for example Keras) have been changed or upgraded.

(I know you have plenty to do, so really no pressure, this is simply a nice to have for newcomers that 'tuned in late'.)


Yup we're starting it in October! :)

(Although if folks follow the course and use the AMI or setup scripts provided, all the correct versions will be installed automatically still today.)


Hi Jeremy,

Recently started the first course and wanted to say I am really loving it. Thank you and Rachel for your time and effort into making this topic more accessible.

Getting things set up for lesson 1/2 I noticed there were a few confusing hiccups along the way, I was wondering how do I get access to edit the wikipedia to smooth out a few issues I struggled with?

The forums are generally helpful but it's a lot to wade through and overwhelming for newer participants.


You can PM me through the forums to get a wiki login.


Earlier this year, the lessons stopped working for a while because the setup scripts ended up installing Keras 2, but the code was built for Keras 1.2. I was bitten by this in March, but I've been told everything works fine now (the setup scripts now use Keras 1.2 specifically).

Upgrading the lessons to Keras 2 is of course nice; I wonder if the videos will need to be re-recorded for that?


Yup they'll be re-recorded. Many updates to cover, not just keras 2!




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