For those willing to try their first Kaggle competition, or those with little experience like me, what @radek created on Kaggle and GitHub for this Quick_Draw competition is pure gold:
He takes you through the initial steps of downloading the right data,
how to process/transform it to fit into FastaiV1,
how/where to modify the tuning (image_size, full or partial dataset_size, number of epochs),
and even include the code to optimize it (TTA) then generate a submission 
It’s truly an amazing package for an on-going competition.
Of course, his starter pack “as it is” won’t get you a medal.
But if you dive in and figure out how to play with FastaiV1 options/parameters, you have a unique chance to compete and see your Public Leaderboard score move as you explore (remember: only 5 submissions per day).
Plus he and others share more tips about finetuning to get a better score, in the Kaggle thread he created so it’s legit.
BTW, if you check his profile on Kaggle, he went from Novice (Rank 1) to Master (Rank 4) in the last 3 months, focusing on three Computer Vision competitions (1 solo gold, 2 silver) so he obviously knows a bit about it 
cc @jeremy
PS: this relates to the first post in this thread.