• General_Effort@lemmy.world
    link
    fedilink
    English
    arrow-up
    4
    arrow-down
    1
    ·
    9 months ago

    You can see a neural net as a graph in that the neurons are connected nodes. I don’t believe that graph theory is very helpful, though. The weights are parameters in a system of linear equations; the numbers in a matrix/tensor. That’s not how the term is used in graph theory, AFAIK.

    • Natanael@slrpnk.net
      link
      fedilink
      English
      arrow-up
      2
      ·
      9 months ago

      If you look at the nodes which are most likely to trigger from given inputs then you can draw paths