Praktikum Representation Learning (PRL)- Lecturers
- Dr.-Ing. Vincent Christlein, Christian Bergler, M. Eng.
- Details
- Praktikum
, ECTS studies, ECTS credits: 5, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again.
Time and place: Wed 10:00 - 12:00, 00.152-113; Wed 8:30 - 10:00, 0.01-142 CIP (außer Wed 22.4.2020); comments on time and place: on the first day Wednesday 22nd of April only the 10:00 o'clock event will happen
- Fields of study
- WPF MT-BA-BV ab 5
WPF INF-BA-V-ME ab 5
WPF INF-BA-V-MI ab 5
WPF IuK-BA ab 5
- Contents
- The goal of this pracatical course is to familiarize the students with the
overall pipeline of a Pattern Recognition System. The various steps involved
in the traditional pattern recognition pipeline including data preprocessing,
feature extraction, and classification are presented and compared with modern
deep learning approaches.
The course alternates between theoretical lectures and practical exercises,
where the theoretical concepts will be implemented in Python, and applied to
real-world applications regarding speech and image processing.
- ECTS information:
- Credits: 5
- Additional information
- Keywords: Mustererkennung, Deep Learning, Machine Learning
Expected participants: 15, Maximale Teilnehmerzahl: 20
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2020:
- Praktikum Mustererkennung (PME)
- Department: Chair of Computer Science 5 (Pattern Recognition)
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