Towards network simplification for low-cost devices by removing synapses

dc.contributor.authorBulín, Martin
dc.contributor.authorŠmídl, Luboš
dc.contributor.authorŠvec, Jan
dc.date.accessioned2019-04-23T08:31:41Z
dc.date.available2019-04-23T08:31:41Z
dc.date.issued2018
dc.description.abstract-translatedThe deployment of robust neural network based models on low-cost devices touches the problem with hardware constraints like limited memory footprint and computing power. This work presents a general method for a rapid reduction of parameters (80–90%) in a trained (DNN or LSTM) network by removing its redundant synapses, while the classification accuracy is not significantly hurt. The massive reduction of parameters leads to a notable decrease of the model’s size and the actual prediction time of on-board classifiers. We show the pruning results on a simple speech recognition task, however, the method is applicable to any classification data.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationBULÍN, Martin; ŠMÍDL, Luboš; ŠVEC, Jan. Towards network simplification for low-cost devices by removing synapses. In: International conference on speech and computer: SPECOM 2018. Cham: Springer, 2018, p. 58-67. (Lectures notes in computer science; 11096). ISBN 978-3-319-99579-3.en
dc.identifier.doihttps://doi.org/10.1007/978-3-319-99579-3_7
dc.identifier.isbn978-3-319-99579-3
dc.identifier.urihttp://hdl.handle.net/11025/34329
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLectures notes in computer science; 11096en
dc.rights© Springeren
dc.rights.accessopenAccessen
dc.subjectprořezávání synpsícs
dc.subjectzjednodušení sítěcs
dc.subjectstruktura minimální sítěcs
dc.subjectnízkonákladová zařízenícs
dc.subjectrozpoznávání řečics
dc.subject.translatedpruning synapsesen
dc.subject.translatednetwork simplificationen
dc.subject.translatedminimal network structureen
dc.subject.translatedlow-cost devicesen
dc.subject.translatedspeech recognitionen
dc.titleTowards network simplification for low-cost devices by removing synapsesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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