Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27040
Full metadata record
DC FieldValueLanguage
dc.contributor.authorIsztl, Dávid-
dc.contributor.authorWelti, Tobias-
dc.date.accessioned2023-02-17T09:21:07Z-
dc.date.available2023-02-17T09:21:07Z-
dc.date.issued2023-01-11-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27040-
dc.language.isoende_CH
dc.publisherZHAW Zürcher Hochschule für Angewandte Wissenschaftende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleMAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) acceleratorde_CH
dc.typeKonferenz: Posterde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Embedded Systems (InES)de_CH
dc.identifier.doi10.21256/zhaw-27040-
zhaw.conference.detailsDatalab Symposium, Winterthur, Schweiz, 11. Januar 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2023_Isztl_ MAX78002_DataLabSymposium-Poster.pdf605.43 kBAdobe PDFThumbnail
View/Open
Show simple item record
Isztl, D., & Welti, T. (2023, January 11). MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator. Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. https://doi.org/10.21256/zhaw-27040
Isztl, D. and Welti, T. (2023) ‘MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator’, in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-27040.
D. Isztl and T. Welti, “MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator,” in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023, Jan. 2023. doi: 10.21256/zhaw-27040.
ISZTL, Dávid und Tobias WELTI, 2023. MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator. In: Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. Conference poster. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 11 Januar 2023
Isztl, Dávid, and Tobias Welti. 2023. “MAX78002 : Ultra-Low-Power 1,2,3,4,8-Bit Convolutional Neural Network (CNN) Accelerator.” Conference poster. In Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-27040.
Isztl, Dávid, and Tobias Welti. “MAX78002 : Ultra-Low-Power 1,2,3,4,8-Bit Convolutional Neural Network (CNN) Accelerator.” Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2023, https://doi.org/10.21256/zhaw-27040.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.