Advanced Methods of Deep Learning

NUMMER:	212120
KÜRZEL:	AdMethDL
MODULBEAUFTRAGTE:R:	Prof. Dr. Asja Fischer
DOZENT:IN:	Prof. Dr. Asja Fischer
FAKULTÄT:	Fakultät für Informatik
SPRACHE:	Englisch
SWS:	2
CREDITS:	3
ANGEBOTEN IM:	unregelmäßig

LINK ZUM VORLESUNGSVERZEICHNIS

Hier entlang.

VERANSTALTUNGSART

Seminar

AKTUELLE TERMINE

Presentations will be organized in small blocks at the end of the semester (dates to be agreed with participants).
Maximum number: 20

LERNFORM

Seminar

LERNZIELE

In this Master Seminar we will read and present recent publications in the field of deep learning.

INHALT

Deep learning is the field of machine learning based on artificial neural networks. In the last decades deep learning has revolutionized a lot of applied fields like computer vision, speech recognition, natural language processing, machine translation, bioinformatics, and many more.

VORAUSSETZUNGEN CREDITS

passed seminar talk

EMPFOHLENE VORKENNTNISSE

Students should have some background knowledge on machine learning and deep learning (and ideally having taken a lecture on deep learning)