Deep Learning Researches in Turkey: An Academic Approach

dc.contributor.author	Pala, Zeydin
dc.contributor.author	Yamli, Veysi
dc.contributor.author	Unluk, Ibrahim Halil
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2017
dc.identifier.isbn	978-1-5386-4001-2
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10420
dc.description.abstract	Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines (DBMs). DL continues to take powe
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	13th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)
dc.source	2017 Xıııth Internatıonal Conference On Perspectıve Technologıes And Methods In Mems Desıgn (Memstech)
dc.title	Deep Learning Researches in Turkey: An Academic Approach
dc.type	Proceedings Paper
dc.identifier.startpage	120
dc.identifier.endpage	123
dc.identifier.wos	WOS:000414280700029

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