Assignment cover

Please use for all assignments the following cover.pdf.

Exercises



Problem Sets

Nr. Issued Question time Presentation Link Additional Material
1 17.10.2012 24.10.2012 31.10.2012 Probability Theory I
2 17.10.2012 24.10.2012 31.10.2012 Probability Theory II
3 17.10.2012 24.10.2012 31.10.2012 Probability Theory III
4 7.11.2012 21.11.2012 28.11.2012 Linear models for regression I
5 7.11.2012 21.11.2012 28.11.2012 Linear models for regression II MATLAB code
6 7.11.2012 21.11.2012 28.11.2012 Decision Theory
7 7.11.2012 21.11.2012 28.11.2012 Perceptron learning rule perceptron_proof.pdf
8 5.12.2012 12.12.2012 16.1.2013 Iterative Reweighted Least Squares
9 5.12.2012 12.12.2012 16.1.2013 Logistic regression MATLAB code
10 5.12.2012 12.12.2012 16.1.2013 Outer product approximation See 5.19 in PRML (C. Bishop, 2006)
11 5.12.2012 12.12.2012 16.1.2013 Advanced Training Methods for Neural Networks MATLAB code
12 16.1.2013 23.1.2013 6.2.2013 Boltzmann machines I boltzmann.zip
13 16.1.2013 23.1.2013 6.2.2013 Boltzmann machines II boltzmann.zip


Slides from Practicals

Practical Date Topic Slides
1 17.10.2012 Organization & Probability Theory Slides (PDF)
2 7.11.2012 Linear Models Regression & Perceptron algorithm Slides (PDF)
3 5.12.2012 Logistic Regression & Neural Networks Slides (PDF)
4 16.1.2013 Deterministic Boltzmann machines Slides (PDF)


Please post your questions concerning the problem sets to the NNA Newsgroup, or send them directly to Stefan Häusler.