[D] Advanced Takeaways from fast.ai book

I recently read the Fast AI deep learning book and wanted to summarise some of the many advanced takeaways & tricks I got from it. I'm going to leave out the basic things because there's enough posts about them, i'm just focusing on what I found new or special in the book. I've also put the insights into a deck on save all to help you remember them over the long-term. I would massively recommend using a spaced repetition app (video explanation) like anki or save all for the things you learn otherwise you'll just forget so much of what is important. Please let me know if you found this helpful and if there are any other training tricks you use that we should also know about?