Week (Date) |
Topic |
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Week 1 (Sep 13) |
Introduction to Neural Networks The Perceptron |
|
Lecture 1 | |||
Week 2 (Sep 20) |
Learning Paradigms, LMS Algorithm Lab Project 1 |
|
Lecture 2 | |||
Week 3 (Sep 27) |
Multi-layer Perceptrons (MLP) Backpropagation Algorithm |
|
Lecture 3 | |||
Week 4 (Oct 4) |
Backprop. (contd) Lab Project 2 |
|
Lecture 4 | |||
Week 5 (Oct 11) |
MLP (contd.) |
|
Lets do lab |
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Week 6 (Oct 18) |
Radial Basis Function (RBF) Networks Lab Project 3 |
|
Lecture 6 |
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Week 7 (Oct 25) |
RBF Networks (contd.) Approximation Theory |
|
Lecture 7 | |||
Week 8 (Nov 1) |
Fuzzy Neural Networks |
Handout | ||||
Week 9 (Nov 8) |
Hopfield Neural Networks |
Handout |
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Week 10 (Nov 15) |
Self organizing maps |
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Lecture 10 | |||
Week 11 (Nov 22) |
Final Project Presentations |
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Week 12 (Nov 29) |
Final Project Presentations | |
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Week 13 (Dec 6) |
Final Project Presentations |
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Week 14
(Dec 13) |
Final Project Presentations |
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Week 15 (Dec 20) |
Final Project Presentations |
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