Deep neural networks with random gaussian weights : a universal classification strategy?

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dc.contributor.authorGiryes, Raja
dc.contributor.authorSapiro, Guillermo
dc.contributor.authorBronsten, Alex M.
dc.date.accessioned2019-07-02T10:30:54Z
dc.date.available2019-07-02T10:30:54Z
dc.date.issued2016-07
dc.descriptionp.3444 - 3457en_US
dc.identifier.issn1053587X
dc.identifier.urihttp://hdl.handle.net/123456789/7562
dc.language.isoenen_US
dc.relation.ispartofseriesIn : IEEE transactions on signal processing, Vol.64, n°13 (Juil. 2016);
dc.subjectProcessus gaussiensen_US
dc.subjectModèle de classificationen_US
dc.subjectApprentissage (intelligence artificielle)en_US
dc.subjectIntelligence artificielleen_US
dc.subjectRéseaux neuronauxen_US
dc.titleDeep neural networks with random gaussian weights : a universal classification strategy?en_US
dc.typeArticleen_US

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