392133 Vertiefung Neuronale Netze (V) (SoSe 2015)

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Mit der Vorlesung "Vertiefung Neuronale Netze" werden die im Modul "Neuronale Netze und Lernen" erworbenen Grundkenntnisse im Bereich neuronaler Netze und Lernalgorithmen weiter vertieft. Insbesondere werden weitere Netzmodelle wie Lokal Lineare Karten, Hyperbolische Selbstorganisierenden Karten, Growing Neural Gas, Radiale Basisfunktionen, sowie Eigenschaften und Lernverfahren für dynamische rekurrente Netze, insbesondere zur Zeitserienvorhersage behandelt.

Dabei werden häufig Beispiele aus der Mustererkennung herangezogen, um praktische Aspekte wie Vorverarbeitung, Merkmalselektion, Techniken zur Konvergenzbeschleunigung und Wahl einer geeigneten Netzarchitektur zu illustrieren.
Teilnahmevoraussetzungen, notwendige Vorkenntnisse

Modul "Neuronale Netze und Lernen"

Requirements for participation, required level

Die Vorlesung wendet sich an einschlägig interessierte Studenten der Informatik, Mathematik und Linguistik im Hauptstudium. Neuronale Netze und Lernen

Bibliography

David MacKay: "Gaussian Processes Basics" (video lecture)
Iain Murray: "Markov Chain Monte Carlo" (video lecture)

External comments page

http://ni.www.techfak.uni-bielefeld.de/teaching/vertiefung-neuronale-netze

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 8-10 U2-147 07.04.-17.07.2015

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Subject assignments

Module Course Requirements  
39-M-Inf-VNN Vertiefung Neuronale Netze Vertiefung Neuronale Netze Graded examination
Student information

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Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Naturwissenschaftliche Informatik / Diplom (Enrollment until SoSe 2004) Robotik; NNet; ME   HS
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Monday, February 9, 2015 
Last update rooms:
Monday, February 9, 2015 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Technology
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54465229