This year's machine learning practical course will focus on exciting research projects in computer graphics, computer vision, and natural language processing. You will be part of a team, learn how to conduct research within your group and report the results in regular meetings. Relevant experts will guide you throughout the course, and your work will be evaluated accordingly. Upon successful evaluation, you will receive 6 ECTs.

The total number of participants is expected to be within the range of 20–25 students. We allow groups with 4 to 5 students, depending on the total number of attendees. In the first meeting, you will be presented with a list of hot research topics from which you and your team members can choose. While we are flexible within the potential new directions and solutions you might discover for your project, the main focus should not deviate from your original topic.

Tuesdays 16:00 - 18:00 (c.t.)

The course will be held in a hybrid format. The Zoom links and credentials for the joint meetings will be published on our Ilias page.
Most of the meetings during the course will happen on a per-group basis. These meetings will take place on Tuesdays at the TTR-2 building (MvL6, Maria-von-Linden-Str. 6) in the second-floor seminar room.

• You are currently enrolled as a master's student.
• You are familiar with Python and a deep learning framework such as Pytorch.+
• Your English fluency is adequate for scientific reports & communication

To participate in the practical course you have to

1. Enroll on our Ilias page.
2. Be there at the first meeting (via zoom) Tuesday 25.04.2023 at 16:00 - 18:00 c.t.. You can find the Zoom-Link for this meeting on Illias.