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Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)

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There is a serious issue with the maximum entropy, bald function. I am always getting error like this. ![image-1](https://user-images.githubusercontent.com/93465481/195839954-5b6bc543-6766-4390-a093-db88129b4d5e.png) ![image](https://user-images.githubusercontent.com/93465481/195839958-4bd7a53f-3ff6-495f-a972-b15b98ec3754.png) Please help. ![temp_image_20220917_142919_a3492f41-db78-409e-a512-112921cfc99c](https://user-images.githubusercontent.com/93465481/195839943-38111f4c-50c0-4b5f-97cc-0ffe71084560.jpg)

Hi, I'm hoping to modify the code in dbal_pytorch.py to work with images that are bigger than those in MNIST (i.e. bigger than 28x28). However, I keep running into errors...

I have read the note of implementation of Deep Bayesian Active Learning with Image Data, it is very very helpful!! I have a little question about the derivation of conditional...