[D] ML Engineers — How did you actually learn PyTorch? I keep forgetting everything.

Hey everyone,

I’m trying to get better at PyTorch, but I keep running into the same problem — I learn something, don’t use it for a while, and then forget most of it. Every time I come back, it feels like I’m starting from scratch again.

For those of you working as ML Engineers (or using PyTorch regularly):

How did you really learn PyTorch?

Did you go through full documentation, courses, or just learn by building projects?

What parts should I focus on to be industry-ready?

Do you still look things up often, or does it become second nature over time?

Any tips to make the knowledge stick long-term?