With school over, I'll reveal one of my secrets. I'm making a new course!
Running with @fastdotai! Times and dates are TBD, but I'm shooting for this Fall to hold the course. This will be a continuation on Walk with fastai, building on what we learned there and applying it 1/
Running with @fastdotai! Times and dates are TBD, but I'm shooting for this Fall to hold the course. This will be a continuation on Walk with fastai, building on what we learned there and applying it 1/
The plan is to split it up into three sections: Debugging, Implementations, and Guest Speakers.
The first section I want to be covering debugging in fastai, bringing raw torch code over (direct 1:1 conversions), and exploring inference heavily
The first section I want to be covering debugging in fastai, bringing raw torch code over (direct 1:1 conversions), and exploring inference heavily
The second will be walking through a few implementations of other libraries that have used fastai (and writing one or two ourselves) in a much more complex manor rather than "set your data up so the DataBlock works". Situations will arise where the DataBlock doesn't exist yet!
And the last will be hearing from some awesome people about their libraries they've built, the issues they faced, and the design choices they made.
To keep an eye on updates, you can either follow me or star the course repo here: github.com/muellerzr/Runn…
To keep an eye on updates, you can either follow me or star the course repo here: github.com/muellerzr/Runn…
I've been designing how I want this course to look like ever since Walk with fastai (the course) first started, but I needed to solve a few issues before I could get there. I'm very excited for this course and I hope you will be too!
• • •
Missing some Tweet in this thread? You can try to
force a refresh
