Thanks Jeremy (and Rachel) for everything y'all have done; I learned a lot just from watching part 1!
Somewhat tangential question, but how do you feel about sticking with PyTorch for future lessons/research work? What are your thoughts on the new Swift integration with TensorFlow?
We're so early in the software and tools cycle for DL that it's unlikely anything that exists today will remain relevant in its current form for very long. You can see that every couple of years the entire DL ecosystem is getting replaced - I don't think that will change.
I'm glad you asked about Swift. It's one of the two directions I'm most excited about for the next stage of DL software (the other being javascript!) Swift is a much better language than Python, and having autograd and tensor types built in will be quite transformative. But it has nothing like the same data science library and tooling, so it'll take time to be a real option for most people.
Javascript has the potential to make DL accessible even for those without a discrete GPU, and allows people to get started even without installing a tool-chain. It also allows more work to be pushed to the client - possibly even on mobile devices.
Somewhat tangential question, but how do you feel about sticking with PyTorch for future lessons/research work? What are your thoughts on the new Swift integration with TensorFlow?