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Prof. Dr. Laurenz Wiskott

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Teaching Material

ca. 90 min units topic acronym recommended lecture notes lecture videos analytical exercises analytical solutions python exercises python solutions
1 Backpropagation Bkpr OpAn (Sec. 2) lecture notes - exercises solutions - -
3-4 Bayesian theory and graphical models BT/GM - lecture notes lecture video 1.1 (27 min), 1.2 - 1.4 (21 min), 1.5 - 1.6 (9 min), 2.1 - 2.4 (23 min), 5 (33 min), 6 (9 min), pdf, exercises solutions - -
- Bias-variance dilemma BVD - - - exercises solutions - -
1 Clustering Cl VQ, OpAn (Sec. 2) lecture notes lecture video 1 (8 min), 2 (14 min), 3 (32 min), 4 (19 min), pdf, exercises solutions exercises solutions
- Differential equations DfEq LnAl - - exercises solutions exercises solutions
- Fisher discriminant analysis FDA PCA - - exercises solutions - -
- Functions Fnc - - - exercises solutions exercises solutions
2 Independent component analysis ICA PCA lecture notes lecture video 1.1a (21 min), 1.1b - 1.5 (34 min), pdf, exercises solutions exercises solutions
- Information theory InTh - lecture notes - - - - -
0.5 Kernel trick KrTr - lecture notes - exercises solutions - -
- Linear algebra LnAl - - - exercises solutions exercises solutions
- Linear regression LnRg OpAn (Sec. 2) lecture notes - - - - -
- Multiple integrals MlIn - - - exercises solutions - -
0.25 Nonlinear expansion NlEx - lecture notes - exercises solutions - -
1 Optimization - analytical methods OpAn - lecture notes - exercises solutions - -
1 Optimization - numerical methods OpNm - lecture notes - exercises solutions - -
2.5 Principal component analysis PCA - lecture notes lecture video 0 (18 min), exercises solutions exercises solutions
1 Reinforcement learning RL - lecture notes lecture video 1 (20 min), 2 (33 min), pdf, exercises solutions - -
1 Restricted Boltzmann machines RBM BT/GM, OpAn (Sec. 2) lecture notes lecture video 1.1 - 1.3 (32 min), 1.4 - 1.7 (25 min), pdf, exercises solutions - -
0.5 Self-organizing maps SOM VQ lecture notes - - - - -
1 Slow feature analysis - applications SFA PCA, NlEx lecture notes lecture video 1 (41 min), 2.1 (10 min), pdf, exercises solutions - -
2 Support vector machines SVM NlEx, KrTr (included) lecture notes - exercises solutions - -
1 Vector quantization VQ OpAn (Sec. 2) lecture notes lecture video 1 - 5 (21 min), 6 - 7 (22 min), 8 - 10 (14 min), pdf, exercises solutions exercises solutions

Laurenz Wiskott, http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/