| Tema 0 |
|
OR-F-001 (PDF) |
EP-F-001 (PDF) (ZIP)
Slide 17
|
|
Guide to the subject |
| Tema 1 |
2 horas |
MC-F-001 (PDF)
MC-F-002 (PDF) |
EP-F-002 (PDF) (ZIP)
Slide 19 |
|
Introduction: Intelligence, Learning &
Pattern Recognition |
| Tema 2 |
6 horas |
MC-F-003 (PDF) |
EP-F-003 (PDF) (ZIP) (ZIP)
Slide 11,13
|
|
Classical techniques: PCA &
Classifiers |
| Tema 3 |
2 horas |
MC-F-004 (PDF)
MC-F-005 (PDF) |
EP-F-004 (PDF) (ZIP)
Slide 11 |
|
Machine learning and Neural Networks |
| Tema 4 |
4 horas |
MC-F-006 (PDF) |
|
|
Supervised Neural Networks: MLP |
| Temas 1 y 2 |
|
|
|
EP-F-005 (PDF) (ZIP) (ZIP)
|
Presentation Practical Work 1 |
| Tema 5 |
4 horas |
MC-F-007 (PDF) |
EP-F-006
Transp 16, 18 |
|
Unsupervised Neural Networks: SOM |
| Temas 4 y 5 |
|
|
|
EP-F-006 (PDF) (ZIP) (ZIP)
|
Presentation Practical Work 2 |