Allgemeine Informationen

Veranstaltungsname	Seminar: Independent study course: Deep learning
Untertitel
Veranstaltungsnummer	8.3233
Semester	SoSe 2015
Aktuelle Anzahl der Teilnehmenden	34
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Freitag, 24.04.2015 10:00 - 12:00, Ort: 93/E12
Art/Form
Teilnehmende	ab 4. Semester
SWS	2
Sprache	Englisch
ECTS-Punkte	4

Lehrende

Ulf Krumnack, Ph.D.

Räume und Zeiten

93/E12: Donnerstag: 10:00 - 12:00, wöchentlich (6x); Freitag: 10:00 - 12:00, wöchentlich (8x); Donnerstag, 30.07.2015, Donnerstag, 10.09.2015, Donnerstag, 17.09.2015, Donnerstag, 24.09.2015 10:00 - 12:00
93/E15: Donnerstag: 10:00 - 12:00, wöchentlich (3x)
93/E01: Freitag: 10:00 - 12:00, wöchentlich (1x)
93/E09: Freitag: 10:00 - 12:00, wöchentlich (1x)

Studienbereiche

Kommentar/Beschreibung

Prerequisites: There are no hard requirements to attend this course, although some background in machine learning will not harm.

Deep learning is a recent branch in the field of machine learning that is driven by the idea of nested hierarchies, allowing to learn complex structures as combination of simpler ones. Under this label various existing techniques from supervised and unsupervised learning have been adapted yielding new deep architectures, like deep neural networks, deep Boltzmann machines, and deep coding machines to name just a few. Deep learning systems have been successfully applied to a broad spectrum of tasks like image and speech recognition, natural language processing, information retrieval, and multimodal learning.

The course will start by acquiring an overview of practices, trends, and research in the field of deep learning. This will serve as a basis to study selected applications in different areas. In a practical part, students are invited to apply the new knowledge to some task of their choice.

Seminar: Independent study course: Deep learning - Details