Machine learning models grounded in information geometry can be challenging due to the intractability of their geometric properties. This article, the first in a series dedicated to information geometry, explores simpler statistical manifolds that offer practical insights for developing geometry-aware deep learning models.
Very well explained and indeed a gem post.
Thanks I appreciate the feedback. BTW, I found your diagrams in your article very insightful.
🙌🏻