Hi everyone, I tried my best to rewrite the fastai2 version of the Devise implementation that Jeremy did using fastai v0.7 for v2 of the course, here you can see my implementation. I used Tiny Imagenet dataset from Stanford, it’s a subset of the Imagenet dataset contains 200 classes, images with shapes 64x64. I used this dataset because Imagenet is huge and I can’t work with that on Colab. I didn’t train from scratch as I thought it’s just a subset of Imagenet dataset and replacing classifier and training the last part itself should be enough. If anyone found any bug feel free to ping me, I’m still figuring out fastaiv2. I used the higher-level API here because I couldn’t get the Datablock to work(will switch If I figure out how).