This website provides materials, exercises and further readings for the lectures "Probabilistic Graphical Models" and "Deep Learning".

Probabilistic Graphical Models


Lecture Slides

Python Code
Jupyter Python notebooks for the vehicle localization example from the lecture:
Note: You can either look at the results of the Jupyter notebooks directly in your browser or execute & modify the Jupyter notebooks yourself. For executing the Jupyter notebook, download bp.ipynb, install Jupyter (see Jupyter documentation) and execute the code. If you don't want to install Jupyter you can also visit https://try.jupyter.org/, upload the notebook and run the Python interpreter directly in your browser.

Exercise

Literature

Further Readings

Deep Learning


Lecture Slides

Exercise

Literature

Further Readings

Graphical Models & Deep Learning


Literature

Further Readings



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