Introduction to Deep Learning (I2DL) (IN2346)

Introduction to Deep Learning (I2DL) (IN2346)

Welcome to the Introduction to Deep Learning course offered in WS2021.

General Course Structure

The course will be held virtually. Lecture slides and videos will be re-used from the summer semester and will be fully available from the beginning. Note that the dates in those lectures are not updated.

In addition, the class will feature weekly exercises consisting of additional videos, practical coding tasks as well as semi-weekly submissions which will be used to determine a bonus for the exam. Please watch the first tutorial video at the beginning of the semester where we will cover the class structure and planning in more detail.

The exercise submissions will start on the third week of the semester. See below, if you are a LMU or TUM student that currently can't sign up for the class regularly via TUM online right now.

External Students & Late TUM Online Registrations

We want to provide access to our lecture for as many students as possible. If you are affiliated with TUM (e.g. LMU student, Ph.D. student, TUM student who cannot register for courses yet but have a TUM token, etc.), we will add you to our class manually. The link to the registration form is : here.

If you are a student from another university or simply interested in Deep Learning, you can access the lecture and exercises videos through this webpage which will be updated accordingly. All notebooks feature separate tests where you can record your performance, though you will not be able to access to submission website. We will also provide solutions and discussions about the submissions in our weekly exercise videos which are all publicly hosted on this website.


See lecture links below.

Lecturers: Prof. Dr. Laura Leal-Taixe and Prof. Dr. Matthias Niessner


SWS: 4


Submission date: TBD

Lead Teaching Assistants: Franziska Gerken and Andreas Rössler

Student Teaching Assistants: Hanzhi Chen, Kejia Chen, Daoyi Gao, Can Gumeli, Pascal Herrmann, Ye Liu, Yujiao Shentu, Rahul Parthasarathy Srikanth, Hannes Stärk, xinpeng Wang, Jingpei Wu

For details about the exercises please refer to the first tutorial session. In particular, you will submit your solutions via our submission website.

Lecture Slides and Recordings

Tutorial Sessions


Office hours

In addition to the tutorial we also offer to discuss questions in person. This semester, the office hours will be held via TUM-Zoom. For each office hour, we provide a separate zoom-link, see announcement on Piazza. Please keep the following in mind to ensure the office hours remain helpful for everyone:

Office hours start on the third week of the class. For one hour, you can have direct contat with one of our TAs to resolve your issues in person. The links to these office hours can be accessed via the forum below and is only available to registered students.

Final Exam and Credits

The final exam date is TBD. The exam will most likely be a traditional onsite exam, so please take this into consideration if you intend to receive credits for this class. Credits are only awarded for students that participated and successfully passed the exam.

We provide a mock exam and the solution from the last semester for your reference.



We will use Piazza for discussions, publication of office hour links and to distribute exam related information. The slides and all material will also be posted and maintained on Piazza, but it will be identical the material hosted on this website.

TUM students could register directly with TUM email address. The other students (e.g. LMU student) need to manually send their email address to us to get enrolled on Piazza.

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 forum discussion board.


Future Semesters

This class will be offered next semester (SS21) as well. Exercise bonus can be transfered.