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