Roadmap for active learning in v2

[zlapp]

Active learning is a super cool topic. Attaching a link to work I started for doing active learning with Fastai.

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Fastai Active Learning tl;dr First attempt at active learning for fastai library. Includes random, softmax, and Monte Carlo Dropout std calculations to measure the uncertainty of an example for a machine learning model. I recently came across a paper called BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning and the following blog which was a segway to explore active learning. I thought it would be cool to have active learning as a part of the fastai library. I…

Gist link

https://gist.github.com/zlapp/e82902577aade2d296e52e0c26bd5ac0