Hi!
After completing deeplearning.ai 5 part series, I found out about fast.ai, and specifically part 2.
Obviously, there are prereqs from part 1 
Apparently deeplearning.ai satisfies the listed NN part of the prereqs quite well, but as for implementation uses whole other packages, and other details…
So, due to unfortunate scarcity of time, I currently can’t allocate time for both parts, and wondered if someone could point me to which specific lectures from part 1, or external resources would be a quick and dirty way to complete the missing prereqs for the implementation details?
I don’t need to master the packages used, I no longer code directly, I just want enough to follow part 2… So any Q&D resources would be much appreciated!
Thanks!