• Aatube
    link
    fedilink
    149 months ago
    1. Specifying weights, biases and shape definitely makes a graph.
    2. IMO having a lot of more preferred and more deprecated routes is quite close to a flowchart except there’s a lot more routes. The principles of how these work is quite similar.
    • @[email protected]
      link
      fedilink
      English
      39 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
        link
        fedilink
        59 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.
        • @[email protected]
          link
          fedilink
          English
          4
          edit-2
          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.

          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
            link
            fedilink
            English
            29 months ago

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

            • @[email protected]
              link
              fedilink
              English
              29 months ago

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