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


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:


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17.01.14 Here is a sample test.
30.10.13 The results for the first homework are online
24.09.13 First Lecture Slides are available at Lecture Notes.
24.09.13 First Lecture on October 1st at 16:15, i11
17.09.13 Homepage installed. If you have any questions, send an e-mail.

Time and Location


Time: Tuesday, 16.15-18.00
First Lecture: Tuesday, 1st October 2012
Location: i11, Inffeldgasse 16b



Neural Network Resources


Sources for Scientific Literature