Just thought I’d add a few of my thoughts after some excellent follow up posts above:
I think quite a few people are probably feeling this way at times as well (me included).
But several things keep me motivated:
The way I have been tackling this course, as someone with a full time job and family, is to dedicate all my free time to this course and material related to just the part of the course we are working on. This involves: listening to relevant part 1 lectures on my ride to and from work (part 2 repeats shortly), reading the fasi.ai forum in my down time after work, and reading relevant papers and blogs mentioned in the forum after family has gone to bed (Im too tired during the week to fire up my machine to do any coding), and keeping print outs of relevant DL papers handy at home for when browsing on a device is not the right thing to do.
With regards to notebooks, the general consensus I have read here is to reproduce the nb from scratch. I have been trying at least to reproduce from notes the sections I am familiar with - eg model, transforms, learner) and re-typing out the bits I am not as familiar with - until it does become familiar, which may take a few repeats.
I have found that the bits I got stuck with when repeating part-1 in prep for this course, and the bits that weren’t fully covered - like submitting to kaggle, were the parts that when I re-listened to the lecture (on my way way to work) - I then thought - hah I already know that.
Lesson 9 covers so many new (to me anyway) concepts that Im going have to break down into pieces and iterate over a few times.