Today I’ve come across some wonderful @fastdotai YouTube channels with some excellent content! Below is a thread of my findings for folks to check out (I’ve subscribed to them all!) 1/
First and foremost we have the wonderful work coming out of @ai_fast_track. Along with the #IceVision videos he’s also done quite a number of videos exploring the @fastdotai API with some EXCELLENT videos, I’m certainly taking notes youtube.com/channel/UCht9j…
Next we have some videos by @philwhln. His first two short videos on #fastbook show some great insights into dealing with issues he had, and a great overview of the first few chapters 2/ youtube.com/user/philwhln
Then there’s David Yang (can’t find his Twitter handle). What’s interesting here is in his videos there is an example of porting over his code from the various @fastdotai versions and the problems he faced. There’s a great variety of topics as well 3/ youtube.com/channel/UC7QP5…
Coding with Chip has some interesting videos on installing and setting up your first local machine for @fastdotai, as well as exporting your model for deployment and what that looks like 4/ youtube.com/c/Chipree
And finally aiadventures has a wonderful end-to-end example of an image classifier trained and deployed with @fastdotai 5/ youtube.com/channel/UCPZqW…
If you’ve made any videos relating to @fastdotai please feel free to self-advertise in this thread/set of tweets 😁 Let the world know!
The first introduces the library and quickly examines what's new, a perfect start for beginners and experts alike. We will cover just what @fastdotai is, how its used, and the goal of the library: muellerzr.github.io/fastblog/2020/… 2/6
The second assumes that you are familair with the original library (@fastdotai v1). We'll compare 1:1 examples of the API, go deep into the High-Level API, and discuss what some of the best new tricks are: muellerzr.github.io/fastblog/2020/… 3/6