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Elimination of All Bad Local Minima in Deep Learning

dc.contributor.authorKawaguchi, Kenji
dc.contributor.authorKaelbling, Leslie P
dc.date.accessioned2021-02-03T22:45:01Z
dc.date.available2021-02-03T22:45:01Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/129669
dc.language.isoen
dc.publisherMLResearchPressen_US
dc.relation.isversionofhttp://proceedings.mlr.press/v108/kawaguchi20b.htmlen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleElimination of All Bad Local Minima in Deep Learningen_US
dc.typeArticleen_US
dc.identifier.citationKawaguchi, Kenji and Leslie Pack Kaelbling. "Elimination of All Bad Local Minima in Deep Learning." Proceedings of Machine Learning Research 108 (2020): 853-863 © 2020 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalProceedings of Machine Learning Researchen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2020-12-22T18:49:50Z
dspace.orderedauthorsKawaguchi, K; Kaelbling, LPen_US
dspace.date.submission2020-12-22T18:49:52Z
mit.journal.volume108en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusComplete


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