#### Some Info on the Course **Deep Learning**

NEXT LECTURES: 6.3.: HS11, 11.3.: HS11, 13.3.: HS17, 18.3.: HS17, 20.3.: HS17
- Here you can find an introduction to python.
- Here you can find an introduction to jupyter notebooks.
- Here you can find an introduction to numpy.
- Here you can find the introductory slides.
- Here you can find a Jupyter notebook on Linear Regression. Here you can find the notebook as html file.
- Here you can find a short exposition of conditional expectations in the discrete case as needed for some of our results.
- Here you can find the slides on mathematical learning theory (Caution: these slides will be updated as we go along!).
- Here you can find some Jupyter Notbooks used during the course.