The structure of various ML primitives can be considered and under CT. Doubly so since in many cases you can in fact "go backwards" through a ML structure in a way normal functions can't, meaning that categorical duals might have more useful interpretations in your world.

So if anything, it might be MORE applicable for composing ML networks.