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Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204)

Course 0000003678 in SS 2019

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers)
Lecturers Vladimir Golkov
Thomas Möllenhoff
Responsible/Coordination: Daniel Cremers
Dates Tue, 14:00–16:00, MI 01.09.014
Tue, 14:00–16:00, MI 02.09.023
Tue, 14:00–16:00, MI 02.09.023

Assignment to Modules

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 PLEASE READ THE ENTIRE COURSE DESCRIPTION AND SEND AN EMAIL WHEN APPLYING. In this course, we will develop and implement deep learning algorithms for concrete applications in the field of computer vision and biomedicine. The main purpose of this course is to gain practical experience with deep learning, and to learn when, why and how to apply it to concrete, relevant problems. The topics will include: - Basics of machine learning and deep learning - Standard and advanced architectures - Tasks beyond supervised learning - Design of architectures, choice of loss functions, tuning of hyperparameters. The projects will be geared towards developing novel solutions for REAL OPEN PROBLEMS. Projects with different interesting problems and data representations will be offered. https://vision.in.tum.de/teaching/ss2019/dlpractice_ss2019
Links Additional information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2020/1 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Golkov, V.
Responsible/Coordination: Cremers, D.
SS 2020 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Bylow, E. Möllenhoff, T.
Responsible/Coordination: Cremers, D.
Assistants: Golkov, V.
Tue, 14:00–16:00, virtuell
WS 2019/20 Practical Course - Expert-Level Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Golkov, V. Möllenhoff, T.
Responsible/Coordination: Cremers, D.
Tue, 14:00–16:00, MI 03.13.010
WS 2018/9 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Golkov, V. Sommer, C.
Responsible/Coordination: Cremers, D.
Tue, 14:00–16:00, MI 03.13.010
SS 2018 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Golkov, V. Möllenhoff, T.
Responsible/Coordination: Cremers, D.
Tue, 14:00–16:00, MI 02.09.023
WS 2017/8 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Löwenhauser, B. Möllenhoff, T. Vestner, M.
Responsible/Coordination: Cremers, D.
Assistants: Golkov, V.
SS 2017 Practical Course - Hands-on Deep Learning for Computer Vision and Biomedicine (IN0012, IN2106, IN4204) Domokos, C. Möllenhoff, T. Schmidt, F. Vestner, M.
Responsible/Coordination: Cremers, D.
Assistants: Golkov, V.
WS 2016/7 Practical Course - Hands-on Deep Learning for Computer Vision (IN2106, IN4204) Golkov, V. Hazirbas, C. Leal-Taixe, L.
Responsible/Coordination: Cremers, D.
Assistants: Löwenhauser, B.
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