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pro vyhledávání: '"Bytyn, Andreas"'
Machine intelligence, especially using convolutional neural networks (CNNs), has become a large area of research over the past years. Increasingly sophisticated hardware accelerators are proposed that exploit e.g. the sparsity in computations and mak
Externí odkaz:
http://arxiv.org/abs/2006.12274
In recent years, neural networks have surpassed classical algorithms in areas such as object recognition, e.g. in the well-known ImageNet challenge. As a result, great effort is being put into developing fast and efficient accelerators, especially fo
Externí odkaz:
http://arxiv.org/abs/1904.05106
Publikováno v:
In Big Data Analytics for Cyber-Physical Systems 2019:187-213
Autor:
Arndt, Oliver Jakob, Arning, Katrin, Ascheid, Gerd, Baag, Thomas, Blume, Holger, Brell, Teresa, Burger, Guido, Bytyn, Andreas, Chitu, Claudia, Dartmann, Guido, Demir, Mehmet Özgün, Didas, Stephan, Dziubany, Matthias, Garling, Marcel, Gollmer, Klaus-Uwe, Hallawa, Ahmed, Harai, Hiroaki, Heek, Julia Offermann-van, Iacca, Giovanni, Kreten, Sandro, Krieger, Rolf, Kurt, Güneş Karabulut, Lanius, Christian, Li, Ruidong, Lücken, Volker, Martin, Lukas, Mohammed, Shawan Taha, Naumann, Stefan, Ohnishi, Masaaki, Owada, Yasunori, Peine, Arne, Philipsen, Ralf, Pusane, Ali Emre, Rallapalli, Parwesh, Schlupkothen, Stephan, Schmeink, Anke, Schneider, Jens, Schreier, Julien, Song, Houbing, Stolz, Florian, Wahl, Michael, Walter, Klaus-Dieter, Wolff, Robert, Zhang, Song, Ziefle, Martina
Publikováno v:
In Big Data Analytics for Cyber-Physical Systems 2019:xiii-xv