Deep Learning

Link to course
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 Curriculum

Host Institution
Eberhard Karls University of Tübingen

Other short courses

11. 03. 2025 Go

Deep Learning

13. 02. 2025 Go

Ethics and AI

13. 02. 2025 Go

Computer Vision

19. 01. 2025 Go

Ethics & STICs

10. 04. 2024 Go

Ethics & STICs

01. 03. 2024 Go

Computer Vision

24. 11. 2023 Go

Human Rights Toolbox

21. 02. 2023 Go

Computer Vision

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

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

09. 07. 2021 Go

Self-Driving Cars

09. 07. 2021 Go

Computer Vision

09. 07. 2021 Go

Deep Learning

17. 06. 2021 Go

Deep Learning School

17. 06. 2021 Go

Memory Network

02. 06. 2021 Go

Machine Listening

02. 06. 2021 Go