Dept. of Computer Sc. » Pattern Recognition » Courses » SS 19 » Praktikum Representation Learning [PRL]
Praktikum Representation Learning [PRL]
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.
Dates & Rooms:
Wednesday, 8:30 - 10:00; Room: 0.01-142
Wednesday, 10:00 - 12:00; Room: 00.152-113