Class Schedule
|
Class ID |
Date and Time |
Contents |
1 |
April 9, 9:00 - 10:30 |
Introduction |
2 |
April 9, 10:40 - 12:10 |
Fundamental concepts: neuron models and basic learning rules
|
3 |
April 16, 9:00 - 10:30 |
Team project I: Learning of a single neuron and single layer neural networks
Part one: Learning of a singale neuron
Part two: Learning of single layer neural networks
|
4 |
April 16, 10:40 - 12:10 |
Multilayer neural networks and back-propagation |
5 |
April 23, 9:00 - 10:30 |
Team Project II: Learning of multilayer neural networks |
6 |
April 23, 10:40 - 12:10 |
Associative memory |
7 |
April 30, 9:00 - 10:30 |
Team Project III: Image restoration based on associate memory
|
8 |
April 30, 10:40 - 12:10 |
Self-organizing neural networks |
9 |
May 7, 9:00 - 10:30 |
Team Project IV: Learning of self-organizing neural network
|
10 |
May 7, 10:40 - 12:10 |
Self-organizing feature map |
11 |
May 14, 9:00 - 10:30 |
Team Project V: Data visualization with self-organizing feature map
Data for Project V
|
12 |
May 14, 10:40 - 12:10 |
RBF neural networks and support vector machines |
13 |
May 28, 9:00 - 10:30 |
Team Project VI: SVM based learning
|
14 |
May 28, 10:40 - 12:10 |
Neural Network Trees |
15 |
June 4, 9:00 - 10:30 |
Team Project VII: Neural network tree based learning
|
16 |
June 11, 9:00 - 10:30 |
Presentation of project results.
|