Neural Networks/en: Rozdiel medzi revíziami
| Riadok 8: | Riadok 8: | ||
| form = L - lecture (2), P - practicals (2) | | form = L - lecture (2), P - practicals (2) | ||
| evaluation = 50/50 | | evaluation = 50/50 | ||
| − | | webpage = http:// | + | | webpage = http://cogsci.fmph.uniba.sk/~farkas/courses/ns.html |
| teacher = [[Igor Farkas|doc. Ing. Igor Farkaš, PhD.]] | | teacher = [[Igor Farkas|doc. Ing. Igor Farkaš, PhD.]] | ||
| email = farkas[[Image:zavinac.gif|@]]fmph.uniba.sk | | email = farkas[[Image:zavinac.gif|@]]fmph.uniba.sk | ||
| − | | homepage = http:// | + | | homepage = http://cogsci.fmph.uniba.sk/~farkas/ |
| description = Provide introduction to principles of neural computation and the usability of various neural network models in solving various tasks (pattern recognition, classification, time series prediction, autoassociative memory and others). | | description = Provide introduction to principles of neural computation and the usability of various neural network models in solving various tasks (pattern recognition, classification, time series prediction, autoassociative memory and others). | ||
| offered_in = Obligatory-optional in [[Bachelor program in Applied Informatics]] | | offered_in = Obligatory-optional in [[Bachelor program in Applied Informatics]] | ||
| recommendations = none | | recommendations = none | ||
}} | }} | ||
Verzia zo dňa a času 14:53, 16. február 2012
Neural Networks 1-AIN-480
| Course name and code: | Neural Networks (1-AIN-480) |
| Prerequisite courses: | none |
| Available in/recommended study year: | Summer semester / 3 |
| Form and # of hours/week: | L - lecture (2), P - practicals (2) |
| Credits: | 6 |
| Evaluation (semester/exam): | 50/50 |
| Course webpage: | http://cogsci.fmph.uniba.sk/~farkas/courses/ns.html |
| Information sheet: | 1-AIN-480 information sheet |
| Teacher(s): | doc. Ing. Igor Farkaš, PhD. |
| E-mail: | farkas fmph.uniba.sk
|
| Homepage(s): | http://cogsci.fmph.uniba.sk/~farkas/ |
Short description:
Provide introduction to principles of neural computation and the usability of various neural network models in solving various tasks (pattern recognition, classification, time series prediction, autoassociative memory and others).
Offered in these study programs: Obligatory-optional in Bachelor program in Applied Informatics
Recommendations: none