Weeks | Topics |
1 |
Characteristic Features of ANN
|
2 |
Neuron Model
|
3 |
Supervised Learning
|
4 |
Unsupervised Learning
|
5 |
Network Architectures and Perceptron Model
|
6 |
Multilayer Deed-Forward Networks
|
7 |
Back-Propagation
|
8 |
Attributed Memory Feature
|
9 |
Self organizing maps and Adaptive resonance theory
|
10 |
Other ANN architectures
|
11 |
Some Classical NN Architectures and Applications
|
12 |
Implementation and Applications of ANN
|
13 |
Presentations
|
14 |
Presentations
|