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