Seminar: Selected topics in deep learning - Details

Allgemeine Informationen

Veranstaltungsname	Seminar: Selected topics in deep learning
Untertitel
Veranstaltungsnummer	8.3513
Semester	WiSe 2021/22
Aktuelle Anzahl der Teilnehmenden	40
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Freitag, 22.10.2021 10:00 - 12:00, Ort: 93/E07
Art/Form
SWS	2
ECTS-Punkte	4

Lehrende

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

Räume und Zeiten

93/E07

Freitag: 10:00 - 12:00, wöchentlich (14x)

Studienbereiche

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

Modulzuordnungen

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20

Kommentar/Beschreibung

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.