[kriro]

I kind of agree. I find the way the fastai library (which builds on PyTorch) is written does not match my personal preferences very well. That being said I still really enjoy working with it and the courses do guide one along quite well. I'd actually recommend it for anyone who just wants to get started and play around. It's fairly easy to get good results on a gaming box (say 1080 GTX) reasonably quickly. I also like the Jupyter Notebook approach that they use for the lectures. It encourages experimenting around and they also encourage you to dive into the library and read source code which is good. Alas I find the terse style complicates it a bit but that may very well be personal preference. It's also good to know that they try to implement interesting papers quickly.

I think overall if your goal is to use a preexisting architecture to get quick results fastai is a great point to start. If you want to build your own architecture, reach one level of abstraction lower. Edit: I liked this PyTorch youtube series quite a bit: https://www.youtube.com/watch?list=PLlMkM4tgfjnJ3I-dbhO9JTw7...