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  • @General_EffortEnglish
    -1•4 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
      3•4 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_EffortEnglish
        3•4 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.

        • @[email protected]English
          2•4 months ago

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

          • @General_EffortEnglish
            2•4 months ago

            I still don’t know what this is supposed to mean for neural nets. I think it reflects a misunderstanding.