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Vorlesungsverzeichnis >> Technische Fakultät (TF) >>
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Praktikum Representation Learning (PRL)- Dozentinnen/Dozenten
- Dr.-Ing. Vincent Christlein, Christian Bergler, M. Eng.
- Angaben
- Praktikum
, ECTS-Studium, 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.
Zeit und Ort: Mi 10:00 - 12:00, 00.152-113; Mi 8:30 - 10:00, 0.01-142 CIP (außer Mi 22.4.2020); Bemerkung zu Zeit und Ort: on the first day Wednesday 22nd of April only the 10:00 o'clock event will happen
- Studienfächer / Studienrichtungen
- 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
- Inhalt
- 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-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Schlagwörter: Mustererkennung, Deep Learning, Machine Learning
Erwartete Teilnehmerzahl: 15, Maximale Teilnehmerzahl: 20
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2020:
- Praktikum Mustererkennung (PME)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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