There are two lectures each week: Wednesday 15.15-17.00 hrs and Friday 13.15-15.00 hrs. In the planning below, lecture 46A is the Wednesday lecture in week 46 etc. There are Computer Lab sessions (C) on Friday, 11.00-12.45 hrs.

"Bishop" refers to the book Pattern Recognition and Machine Learning by Christopher Bishop, Springer 2006.

Lecture | Subject/Slides | Literature | Exercises/Background |
---|---|---|---|

46A | Introduction (updated 22-11-2018) | Bishop Ch. 1 | Chapter 1: 3,5,6,10,11,29,37,39,41 (Solutions) |

46C | No Computer Lab (open dag) | ||

46B | No Lecture (open dag) | ||

47A | Linear Models (1) | Bishop Ch. 3+4 | |

47C | Computer Lab | ||

47B | Linear Models (2) | Bishop Ch. 3+4 | |

48A | Linear Models (3); Intro Gradient Descent | Bishop Ch. 3+4 | |

48C | Computer Lab | ||

48B | Introduction to deep learning | ||

49A | Neural networks -- TensorFlow | ||

49C | Computer Lab | ||

49B | Support Vector Machines (numerical example slides 35-38 updated on 10-12-2018) |
Bishop Ch. 7 | |

50A | Convolutional Neural Networks | ||

50C | Computer Lab | ||

50B | Exercise Class | Exercises (Solutions) | |

51A | Presentation of proposals 2nd assignment | ||

51C | Computer Lab | ||

51B | Presentation of proposals 2nd assignment | ||

52 | No Lectures | ||

1 | No Lectures | ||

2A | No lecture -- Work on Assignment 2 | ||

2C | Computer Lab | ||

2B | Recurrent Neural Networks | ||

3A | Guest lecture - Alex Klein (MSc), Christyowidiasmoro (PhD Candidate) | ||

3C | Computer Lab | ||

3B | No lecture -- Work on Assignment 2 | ||

4A | Final Presentations 2nd assignment | ||

4B | Final Presentations 2nd assignment | ||

5 | Exam Wednesday 30 Jan. 2019, 13.30-16.30 |