• General_Effort@lemmy.world
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    4
    ·
    10 months ago
    1. There are graph neural networks (meaning NNs that work on graphs), but I don’t think that’s what is used here.

    2. I do not understand what you mean by “routes”. I suspect that you have misunderstood something fundamental.

    • Aatube@kbin.social
      link
      fedilink
      arrow-up
      5
      arrow-down
      2
      ·
      10 months ago
      1. I’m not talking about that. What’s weights, biases and shape if not a graph?
      2. By routes, I mean that the path of the graph doesn’t necessarily converge and that it is often more tree-like.
      • General_Effort@lemmy.world
        link
        fedilink
        English
        arrow-up
        4
        arrow-down
        1
        ·
        edit-2
        10 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.

        ETA: What you say about “routes” (=paths?) is something that I can only make sense of, if I assume that you misunderstood something. Else, I simply don’t know what that is talking about.

        • 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