Answers to the exercises will be presented on Tuesdays 14-16 in T3 and Thursdays 12-14 in TU2.
Updated versions of the model answers now contain corrections to some errors in the first versions.
6.11. | Exercise 1 | Basic single neuron models | [problems] [answers] |
13.11. | Exercise 2 | Error minimization, LMS algorithm, linear classifier | [problems] [answers 1-3] [answers 4-5] |
15.11. | Exercise 3 | Principal component analysis (PCA), whitening | [problems] [answers] |
20.11. | Exercise 4 | Multilayer perceptron network (MLP) | [problems] [answers] [MLP-fitting demo script] |
22.11. | Exercise 5 | Network training algorithms, backpropagation | [problems] [answers] [Matlab sources for image compression demo]* [Image files] |
27.11. | Exercise 6 | Bias/variance, regularization | [problems] [answers] |
29.11. | Exercise 7 | RBF networks | [problems] [answers 1,2,4,5] [answer 3] |
4.12. | Exercise 8 | Support vector machines (SVMs) | [problems] [answers] |
11.12. | Exercise 9 | Independent component analysis (ICA) | [problems] [answers] |
13.12. | Exercise 10 | Independent component analysis, self-organizing maps | [problems] [answers] |
Exercise 11 | LVQ, time-delayed networks (Note: no excercise session.) | [problems] [answers] |
Contact me if you have any questions about the exercises or the project work.
-Matti
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