Mobile Deep Learning Processors on the Edge

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dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2019-11-29T08:23:16Z-
dc.date.available2019-11-29T08:23:16Z-
dc.date.created2019-11-27-
dc.date.created2019-11-27-
dc.date.created2019-11-27-
dc.date.issued2019-04-
dc.identifier.citation40th Annual IEEE Custom Integrated Circuits Conference, CICC 2019-
dc.identifier.urihttp://hdl.handle.net/10203/268730-
dc.description.abstractPresents a collection of slides containing the following topics: deep neural network; DNN hardware; cloud computing; edge computing; mobile DNN inference processors; DNN processor flexibility; mobile DNN learning processors; and reinforcement learning processors.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleMobile Deep Learning Processors on the Edge-
dc.typeConference-
dc.identifier.wosid000501010700022-
dc.identifier.scopusid2-s2.0-85070550071-
dc.type.rimsCONF-
dc.citation.publicationname40th Annual IEEE Custom Integrated Circuits Conference, CICC 2019-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationAustin, TX-
dc.identifier.doi10.1109/CICC.2019.8780154-
dc.contributor.localauthorYoo, Hoi-Jun-
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EE-Conference Papers(학술회의논문)
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