Category theory is all about relationships and structural patterns. so its useful when you want to interoperability and composition between systems i.e. invariants under transformations, etc.
Without reading too much into what this framework does, I'd say category theory could be useful for some ML problems (i.e. layer composition, gradient propagation, etc.) - but I'd think it would be more useful as an analytical tool than as actual lib/code structures.
Without reading too much into what this framework does, I'd say category theory could be useful for some ML problems (i.e. layer composition, gradient propagation, etc.) - but I'd think it would be more useful as an analytical tool than as actual lib/code structures.