## Prof. Dr. Laurenz Wiskott |

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/