I’ve not done high level ML, but I’ve done introductory ML and the truth is while the input space and the output space can have N and M dimensions, there’s not a lot of constraints involved. The matrix there are more randoms.
The whole ML field is basically about starting from random points and trying to find useful shapes and constraints. Basically like trying to get object likeness in clouds
The whole ML field is basically about starting from random points and trying to find useful shapes and constraints. Basically like trying to get object likeness in clouds