It’s not so theory heavy but I’ve enjoyed the paper titled “what uncertainty do we need in Bayesian deep learning for computer vision?” By Kendall and Gal of Cambridge.
If you find some nice introductory/theory paper please share them also :)!
Exactly what I was looking for. I have been trying to figure out the best structure for my training and this helps. I have not quite pinpointed what I want to do yet, but I am rebuilding it from the ground up. Speaking of which- any familiarity with ImageJ?
Bayesian neural networks are a thing ;)
Link me a theory heavy piece pls if you know one!! :)
It’s not so theory heavy but I’ve enjoyed the paper titled “what uncertainty do we need in Bayesian deep learning for computer vision?” By Kendall and Gal of Cambridge.
If you find some nice introductory/theory paper please share them also :)!
Exactly what I was looking for. I have been trying to figure out the best structure for my training and this helps. I have not quite pinpointed what I want to do yet, but I am rebuilding it from the ground up. Speaking of which- any familiarity with ImageJ?
Never used it :).
Keep me updated on your progress, I barely have any time to do it as thoroughly as you and so I’ll be glad to learn from your experiment also
Will do once I figure out my plans myself!!! Lol. I have a lot to write up while these initial steps run so maybe I’ll be sooner rather than later.