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.
You are at: CIS → T-61.5130 Machine Learning and Neural Networks (5 cr)
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