Neuronale Netzwerke A, WS 2006
Institut für Grundlagen der Informationsverarbeitung (708)

Content:

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. In this course, basic machine learning techniques (so-called ''neural'' techniques, or simply neural networks) and recently introduced advanced techniques such as Deep Belief Networks and Gaussian Processes will be discussed. The student will gain a deep understanding of these techniques and learn to apply them for practical applications. We will adopt a modern view on neural networks based on Bayesian methods.

The following topics will be discussed:



News

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Time and Location

Lecture

Time: Tuesday, 16.15-18.00
First Lecture: Tuesday, 12th October 2010
Location: i11, Inffeldgasse 16b


Exercises



Literature:





Neural Network Resources


Matlab


Sources for Scientific Literature