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by hervature 1195 days ago
Let's take a step back. You have a model like linear regression. For example, y=bx where y are your outputs and x are your inputs. Based on some data, you learn that b=1. Therefore, you share the weights of the model as a file like {b=1} and also share with them the model y=bx (usually shared via code) so they can run it in production.
1 comments

This is the best explanation imo.

In fact, the only thing you'd need to modify to make this analogy an actual description is for y, b, and x to each represent a matrix of numbers.