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Rekurentní neuronové sítě v počítačovém vidění / Recurrent Neural Networks in Computer Vision

The thesis concentrates on using recurrent neural networks in computer vision. The theoretical part describes the basic knowledge about artificial neural networks with focus on a recurrent architecture. There are presented some of possible applications of the recurrent neural networks which could be used for a solution of real problems. The practical part concentrates on face recognition from an image sequence using the Elman simple recurrent network. For training there are used the backpropagation and backpropagation through time algorithms.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:237029
Date January 2011
CreatorsKřepský, Jan
ContributorsŘezníček, Ivo, Španěl, Michal
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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