392178 Neuronale Netze (S) (WiSe 2013/2014)

This course has been cancelled!

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Das Seminar bietet einen vertiefenden Einblick in aktuelle Forschungsthemen im Bereich von feedforward-und rekurrenten neuronalen Netzen. Die Teilnehmer erhalten einen Ueberblick ueber Netzwerkarchitekturen sowie deren Eigenschaften und Anwendungsgebiete.

Das Seminar beginnt mit einem einleitenden Vortrag und wird dann durch Vortraege der Teilnehmer vertieft. In der zweiten Semesterhaelfte geht das Seminar in eine "Hands-on" Phase ueber, in der das erworbenen Wissen an verschiedenen Beispielen vertieft wird. Hierzu sind Grundkenntnisse in Matlab vorteilhaft aber nicht zwingend.

LP: 1 LP fuer aktive Teilnahme, 1 LP fuer Vortrag

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ACHTUNG: Seminar findet auf Grund von zu geringer Teilnehmerzahl nicht statt!
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Requirements for participation, required level

Empfohlene Vorkenntnisse: Vertiefung Neuronale Netze

Teaching staff

Subject assignments

Module Course Requirements  
39-Inf-MIKE Modularisierter individueller Kompetenz-Erwerb (MiKE) - Ungraded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Intelligente Systeme / Master (Enrollment until SoSe 2012) Individuelle Ergänzung Wahl 1. 3. 3  
Kognitive Informatik / Bachelor (Enrollment until SoSe 2011) Individueller Ergänzungsb Wahl 3. 3  
Naturwissenschaftliche Informatik / Master (Enrollment until SoSe 2012) Individuelle Ergänzung Wahl 1. 3. 3  

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WS2013_392178@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, October 22, 2015 
Last update rooms:
Tuesday, October 15, 2013 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Department
Faculty of Technology
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ID
39824039