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Deep Learning Lab


Semester:

SS 2022

Type:

Practical

Lecturer:

Credits:

None

Detailed information and materials are available in the Moodle course room.

Lab Description

In this lab course, students can collect practical hands-on experience with deep learning.

The lab takes the form of weekly meetings throughout the semester at a fixed time slot. After the first initial slots with a few recap lectures about the most important topics and some practical exercises, participants will form teams of 3--4 students and each team will have to come up with a deep learning related topic of their choice. In the remainder of the weekly slots, some of the teams will present a brief status report according to a rotating schedule and there will be time for some discussions of problems and how to best proceed with the projects. At the end of the semester, we will have a presentation day, where each team presents their project results and takeaways. Finally, each team will submit an 8-page project report summarizing their work.

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