Project Representation Learning /CoursesID:3026
- Most recent entry on 2022-12-01
Keywords: deep learning representation learning

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Recording type

Seminar

Language

Different projects in the area of (deep) representation learning are on offer. These reach from theoretical exploration of new data representation methods to practical evaluation of applications in, e.g., medical image analysis. Example projects will be made available on the website of the chair for health data science. Students may also propose their own projects, which will be coordinated and refined with the module lead during preliminary discussions.

We'll start with a project definition phase, followed by literature research, idea outline and implementation phase. Final results will be presented in a mini-symposium. 

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Project Representation Learning
Prof. Dr. Bernhard Kainz
2022-04-09
Studon
00:22:57
2
Project Representation Learning 2022
Prof. Dr. Bernhard Kainz
2022-10-17
Free
00:32:00
3
Project Representation Learning 2022 - Introductory Presentation
Mischa Dombrowski
2022-12-01
Studon
00:11:18

More courses from Prof. Dr. Bernhard Kainz

IdeaLab
Prof. Dr. Bernhard Kainz
lecture
2024-01-15
Free
Mueller, Christine
Prof. Dr. Bernhard Kainz
lecture
2024-07-02
IdM-login
IdeaLab
Prof. Dr. Bernhard Kainz
lecture
2023-05-26
IdM-login
Schloss1
Prof. Dr. Bernhard Kainz
lecture
2024-07-15
IdM-login
IdeaLab
Prof. Dr. Bernhard Kainz
lecture
2023-01-30
Free / IdM-login