• General_Effort@lemmy.world
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    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@slrpnk.net
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      9 months ago

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