I thought of trying out something simple, to get used to the new fastai library. So, I built a model on the DHCD dataset (https://archive.ics.uci.edu/ml/datasets/Devanagari+Handwritten+Character+Dataset).
It’s a dataset similar to MNIST, but for Devanagari(देवनागरी) characters instead.
The dataset is not as well known and/or used, so was fun to try it out, and got pretty good results (error rate : 1.49% | accuracy : 98.51%) for less than an hour of tinkering.
Also, these top losses seem legit to me 
