The Computer Lab Pattern Recognition is designed to provide students with prior theoretical knowledge of Machine Learning with a practical introduction to the field of Machine Learning and in particular Deep Learning. There will first be an introduction to the Python programming language followed by an introduction to the Deep Learning libraries PyTorch and Tensorflow. This will be followed by practice in the concrete application of these Deep Learning libraries using specific examples from the areas of image processing and language processing. The lab consists of 7 units, of which at least 6 must be passed. The tasks will take place on a Jupyterhub. Every 2 weeks a unit will be made available to be worked on and then handed in. In detail, the following topics will be worked on in the 7 units of the Computer Lab:
Lecturer: Prof. Dr.-Ing. Tim Fingscheidt
Assistant: Marvin Klingner
Lab (PATREC Lab) (Module-No.: TBD):
Contact hours (SWS): 4h = 5 LPs
Times: individually
Location: online
Language: German / English
A kick-off event will take place at the beginning of each semester. This will take place in SoSe 2023 on 19.4.2023, 16:45-17:30 in SN 22.1 lecture hall. A registration will then take place until 20.4.2023, 23:59 in the stud.IP event. A subsequent registration is not possible. All further information will be published in stud.IP and at the kick-off.