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Variational Autoencoders with Mixture Density Networks for Sequence Prediction in Algorithmic Composition - A Musical World Model

dc.contributor.authorRøsjø, Viktoria
dc.date.accessioned2019-03-28T23:45:54Z
dc.date.available2019-03-28T23:45:54Z
dc.date.issued2018
dc.identifier.citationRøsjø, Viktoria. Variational Autoencoders with Mixture Density Networks for Sequence Prediction in Algorithmic Composition - A Musical World Model. Master thesis, University of Oslo, 2018
dc.identifier.urihttp://hdl.handle.net/10852/67479
dc.description.abstracteng
dc.language.isoeng
dc.subject
dc.titleVariational Autoencoders with Mixture Density Networks for Sequence Prediction in Algorithmic Composition - A Musical World Modeleng
dc.typeMaster thesis
dc.date.updated2019-03-28T23:45:53Z
dc.creator.authorRøsjø, Viktoria
dc.identifier.urnURN:NBN:no-70656
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/67479/1/Variational_Autoencoders_for_Algorithmic_Composition.pdf


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