This thesis deals with a training of the FPNN structures. It focuses on the ways of direct conversion of the pretrained arti cial neural networks to FPNNs. This is useful when original training data set is not reachable.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:235409 |
| Date | January 2014 |
| Creators | Krčma, Martin |
| Contributors | Strnadel, Josef, Kaštil, Jan |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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