T-61.5130 Machine Learning and Neural Networks (5 cr)

Autumn 2007, Excercises

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]

(*) Limited access due to copyright restrictions. Ask the course assistant for the login.

Contact me if you have any questions about the exercises or the project work.

-Matti