Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6881
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dc.contributor.authorÇalık, Rasim Caner-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2021-09-11T15:44:03Z-
dc.date.available2021-09-11T15:44:03Z-
dc.date.issued2018en_US
dc.identifier.citation26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.identifier.isbn978-1-5386-1501-0-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6881-
dc.description.abstractDeep Neural Network is successfully applied for image classification problems. The understanding of what object is detected in the image is great interested. The prupose of this article is that image classification problem could be applied in real time systems. In this article we propose a CNN architecture for Cifar-10 dataset. This article is shown that with 2GB memory real time system achieves %85.8 accuracy for image classification.en_US
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 26Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectDeep Neural Networken_US
dc.subjectMachine Learningen_US
dc.subjectImage Classificationen_US
dc.titleIn Embedded Systems Image Classification with Convolutional Neural Networken_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000511448500149en_US
dc.identifier.scopus2-s2.0-85050805174en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference26th IEEE Signal Processing and Communications Applications Conference (SIU)en_US
item.cerifentitytypePublications-
item.languageiso639-1tr-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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