Seminar Course - Current Trends in Deep Learning (IN2107, IN4515)
Course 0000004951 in SS 2018
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Björn Häfner Responsible/Coordination: Daniel Cremers |
| Dates |
Assignment to Modules
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IN2183: CSE Seminar Scientific Computing / CSE Seminar Course Scientific Computing
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Deep Learning studies computational methods that find patterns in structured data. In this seminar we will discuss current trends in deep learning, including applications in robotics, signal processing (e.g. blind source separation), recommender systems and time varying data. Every student picks a recent research paper on deep learning that he presents in the seminar. https://vision.in.tum.de/teaching/ss2018/ctdl |
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| Links |
Additional information TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2014/5 | Seminar Course - Current Trends in Machine Learning (IN2107, IN4515) | ||
| WS 2013/4 | Seminar Course - Current Trends in Machine Learning (IN2107, IN4515) | ||
| WS 2012/3 | Seminar Course - Current Trends in Machine Learning (IN2107, IN4515) |