I took fast.ai a few years ago, and then again a year or so ago. I like their lectures and their methodology of teaching which enabled me to meet a lot of interesting people in my city, but I ended up just building models using vanilla PyTorch instead of using their library as an added layer just because it felt like they were tweaking and revamping their code so often that at times it was kind of hard to connect the docs with the latest code.
Yeah that makes a lot of sense. It's why we took a year off from teaching to try to make the definitive version of the deep learning framework we really wanted - and even wrote a peer-reviewed academic paper about the design we came up with.
So today's fastai library really doesn't have the issues that we had a year or two back - it's a really carefully designed piece of software. Amongst other things, we've made sure works with the book, which means it has to last for a long time.
