Category Theory in Machine Learning

06/13/2021
by   Dan Shiebler, et al.
0

Over the past two decades machine learning has permeated almost every realm of technology. At the same time, many researchers have begun using category theory as a unifying language, facilitating communication between different scientific disciplines. It is therefore unsurprising that there is a burgeoning interest in applying category theory to machine learning. We aim to document the motivations, goals and common themes across these applications. We touch on gradient-based learning, probability, and equivariant learning.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset