Catalog Description:
Introduction to cognitive science. Parallel, distributed problems. Constraint satisfaction. Hopfield model. Supervised vs. unsupervised learning. Single vs. multi-layer perceptrons. Static vs. dynamic network architecture. Comparison of neural approaches with parametric and nonparametric statistical methods. Neural network applications.
Credits:
(3+0+0) 3 ECTS 10
Prerequisites:
Consent of the instructor
| Link | Year | Semester | Course Page | Instructor | Course Schedule | Lab Schedule | PS Schedule |
|---|---|---|---|---|---|---|---|
| view | 2018 | Spring | Ethem Alpaydın | FFF 345 BM A5 | BM A5 | BM A5 | |||
| view | 2017 | Spring | Ethem Alpaydın | FFF 234 BM B5 | BM B5 | BM B5 | |||
| view | 2016 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2015 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2013 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2012 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2011 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2010 | Spring | Course Page | Ethem Alpaydın |