Deep Learning

Starts on

Ends on

Lecturer

Prof. Dr. Andreas Geiger,

Content and organization

This course is taught every other year, but is also available for self-paced learning all year round. Participants who wish to obtain credits will have to enroll for the next live course and do a written exam in Tübingen at the end of the respective semester.

Course Type

ai-phd Course

Host Institution
Eberhard Karls University of Tübingen

Other short courses

11. 05. 2022 Go

Geometric learning

05. 04. 2022 Go

Computer Graphics

04. 04. 2022 Go

Bayesian Learning

02. 04. 2022 Go

Computer Graphics

31. 03. 2022 Go

Web of Data

28. 03. 2022 Go

Machine Learning

27. 03. 2022 Go

Machine Learning

21. 03. 2022 Go

Untitled

02. 03. 2022 Go

Player Modeling

28. 02. 2022 Go

Player Modeling

21. 02. 2022 Go

Affective Computing

21. 02. 2022 Go

Machine Listening

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Self-Driving Cars

21. 02. 2022 Go

Deep Learning

21. 02. 2022 Go

Deep Learning 2

17. 02. 2022 Go