Introduction to Deep Learning (I2DL) (IN2346)

Introduction to Deep Learning (I2DL) (IN2346)

Welcome to the Introduction to Deep Learning course offered in WS19/20.


Tuesdays (14:00-16:00) - HOERSAAL MI HS 1 (00.02.001)

Lecturers: Prof. Dr. Matthias Niessner and Dr. Angela Dai


SWS: 4


Thursdays (10:00-12:00) - HOERSAAL MI HS 1 (00.02.001)

Lead Teaching Assistants: Andreas Rössler and Yawar Siddiqui

Student Teaching Assistants: Felix Altenberger, Shivangi Aneja, Guy Gafni, Pascal Herrmann, Julian Kunze, Felix Meissen, Jiaqi Shan, Willem van Hove, Sophia Wagner, Lucas Wolf

For details about the exercises please read the, which is distributed with the exercise. In particular, you will submit your solutions via our submission website.

Content and Slides


Slides can be downloaded using the links above in PDF format (or via moodle).


  • Strong mathematical background: linear algebra, calculus.
  • Previous knowledge of Python is needed.
  • Machine Learning background is recommended.
  • Previous knowledge of PyTorch is recommended.


We use Moodle for discussions and to distribute important information. Please check the News and Discussion boards regularly or subscribe to them. The slides and all material will also be posted on Moodle.

Exercise and tutorial schedule


Contact us

If you have any questions regarding the organization of the course, do not hesitate to contact us at:

For questions on the syllabus, exercises or any other questions on the content of the lecture, we will use the Moodle discussion board.

Office hours

In addition to the tutorial we also offer to discuss questions in person in our office hours at room (preliminary, room may change during semester) 02.13.051 :

Office hours start on the 1st of November.

External (non-TUM) Students

We want to provide access to our lecture for as many students as possible. Therefore, we ask external students that are not TUM students and do not have access to TUMonline to register to Moodle and register through this form. We will then add you to our Moodle course where you will find addtional information and all the course material.


Future Semesters

In the upcoming summer semester (SS2020), Prof. Dr. Matthias Niessner and Prof. Dr. Laura Leal-Taixé will co-teach the course.