• CamilleMellom@mander.xyz
    link
    fedilink
    English
    arrow-up
    2
    ·
    11 months ago

    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 :)!

    • fossilesque@mander.xyzOP
      link
      fedilink
      English
      arrow-up
      1
      ·
      11 months ago

      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?

      • CamilleMellom@mander.xyz
        link
        fedilink
        English
        arrow-up
        1
        ·
        11 months ago

        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

        • fossilesque@mander.xyzOP
          link
          fedilink
          English
          arrow-up
          1
          ·
          11 months ago

          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.