Seminar: Selected topics in deep learning - Details

General information

Course name	Seminar: Selected topics in deep learning
Subtitle
Course number	8.3513
Semester	WiSe 2021/22
Current number of participants	40
Home institute	LE Cognitive Science
Courses type	Seminar in category Offizielle Lehrveranstaltungen
First date	Friday, 22.10.2021 10:00 - 12:00, Room: 93/E07
Type/Form
SWS	2
ECTS points	4

Lecturers

• Ulf Krumnack, Ph.D.
• Axel Schaffland, M. Sc.

Rooms and times

93/E07

Friday: 10:00 - 12:00, weekly (14x)

Fields of study

• Veranstaltungen > Cognitive Science > Master-Programm
• Veranstaltungen > Cognitive Science > Bachelor-Programm

Module assignments

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20

Comment/Description

There are no hard requirements for this course, but a basic knowledge of neural networks (like backpropagation, CNNs, RNNs) and experience with one of the common DL frameworks (like TensorFlow or Torch) is assumed. The ideal participant would have finished “Implementing ANNs in Tensorflow” or some comparable course before visiting this seminar.

In the course we will read and discuss selected papers from the field of deep learning, with a focus on the visual domain (image process and computer vision), but also touching foundational issues and questions of general interest.