Probabilistic ML - Lecture 16 - Deep Learning
Channel: Tübingen Machine Learning
Date: 2023-06-28

This is the sixteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University of Tübingen. 

Contents: 
* Deep Learning
* empirical risk as a log likelihood
* regularized empirical risk as MAP estimation
* connection between inference and learning
* practical comparison of kernel and deep models

The slides for this course are available at https://github.com/philipphennig/Probabilistic_ML

© Philipp Hennig / University of Tübingen, 2023 CC BY-NC-SA 4.0