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Character-level recurrent neural networks in practice: comparing training and sampling schemes

dc.contributor.authorDe Boom, Cedric
dc.contributor.authorDemeester, Thomas
dc.contributor.authorDhoedt, Bart
dc.date.accessioned2021-10-27T08:22:32Z
dc.date.available2021-10-27T08:22:32Z
dc.date.issued2019
dc.identifier.issn0941-0643
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32793
dc.sourceIIOimport
dc.titleCharacter-level recurrent neural networks in practice: comparing training and sampling schemes
dc.typeJournal article
dc.contributor.imecauthorDe Boom, Cedric
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage4001
dc.source.endpage4017
dc.source.journalNeural Computing and Applications
dc.source.issue8
dc.source.volume31
dc.identifier.urlhttps://doi.org/10.1007/s00521-017-3322-z
imec.availabilityPublished - open access


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