Course taught by Prof. Fioresi on the Geometry of Deep Learning (16 hours)
Date:
Event location: Bologna - In presence and online event
Syllabus:
- Introduction to Deep Learning, basic steps of the algorithm analogies with the human visual systems and its mathematical models.
- The geometry of the space of data and the space of parameters; KL divergence and its information geometry interpretation.
- Geometric Deep Learning: the algorithm of Deep Learning on Graphs.
- Message passing and GATs: a geometrical modeling via heat equation and - Laplacian on graphs.