3 ms·

I don't know what model you trained but if it only needs 5 parameters it's quite possible that you can figure out the corresponding features, and remove your sa

• YeGoblynQueenne 10y ago
  It's perfectly possible to train a deep neural model with millions of features that outputs a vector of a handful of values, or even just a scalar. That's actually one of their strengths. [Full disclosure: that comment was originally mine from a different thread; I'm not affiliated with the OP in any way.]
  • kefka 10y ago
    Yes indeed. Your comment was sarcastically perfectly succinct and to the point. And it left a mark on me as being the best way to get across this "magic math" stuff encroaching into computer science. It does appear to be a very powerful tool, but with absolutely no introspection or any way to validate or invalidate content. Best one can hope, is that the dataset has no inherent biases ~ but even that's no claim the algo won't create a layer to make the biases, and then directly chose on biases. I probably should have cited it (was on mobile, but oh well :/ ). Well, I'll do it now: https://news.ycombinator.com/item?id=14219450 https://news.ycombinator.com/item?id=14219450 If anything, please consider this copy/edit as a sign of respect, and not of mockery :)
    • YeGoblynQueenne 10y ago
      No worries. It's all good :)
  • p1esk 10y ago
    Are you confusing parameters with outputs?
    • YeGoblynQueenne 10y ago
      Well, the numbers you get in the output are function parameters.