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dc.contributor.authorPoggio, Tomaso
dc.contributor.authorBanburski, Andrzej
dc.date.accessioned2021-12-09T19:16:21Z
dc.date.available2021-12-09T19:16:21Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/138407
dc.description.abstract© 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. During the last few years, significant progress has been made in the theoretical understanding of deep networks. We review our contributions in the areas of approximation theory and optimization. We also introduce a new approach based on cross-validation leave-one-out stability to estimate bounds on the expected error of overparametrized classifiers, such as deep networks. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/TEE.23243en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Poggioen_US
dc.titleAn Overview of Some Issues in the Theory of Deep Networksen_US
dc.typeArticleen_US
dc.identifier.citationPoggio, Tomaso and Banburski, Andrzej. 2020. "An Overview of Some Issues in the Theory of Deep Networks." IEEJ Transactions on Electrical and Electronic Engineering, 15 (11).
dc.relation.journalIEEJ Transactions on Electrical and Electronic Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-12-09T19:11:49Z
dspace.orderedauthorsPoggio, T; Banburski, Aen_US
dspace.date.submission2021-12-09T19:11:52Z
mit.journal.volume15en_US
mit.journal.issue11en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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