Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Takuya Fukagai"'
Autor:
Atsushi Ike, Satoshi Tanabe, Kyosuke Maeda, Yasumoto Tomita, Akira Nakagawa, Takuya Fukagai, Koichi Shirahata
Publikováno v:
ICIP
We realized a speed-up of an object detection neural network with GPU. We improved the object detection speed of faster R-CNN [1], which is one of the most commonly used detection networks [2]. The speed of the original faster R-CNN (py - faster - rc
Publikováno v:
International Journal of Networking and Computing, 8 (2
Vrije Universiteit Brussel
CANDAR
Vrije Universiteit Brussel
CANDAR
Recent state-of-the-art deep reinforcement learning algorithms, such as A3C and UNREAL, are designed to train on a single device with only CPU's. Using GPU acceleration for these algorithms results in low GPU utilization, which means the full perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d26349b8f2cd1a59fff98f9c3e3b768
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/298534
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/298534
Autor:
Takuya Fukagai, Koichi Shirahata, T. Hashimoto, Yasumoto Tomita, Jun Sun, Satoshi Naoi, Song Wang, Sun Li, Atsushi Ike, Wei Fan
Publikováno v:
ICME
Nowadays the CNN is widely used in practical applications for image classification task. However the design of the CNN model is very professional work and which is very difficult for ordinary users. Besides, even for experts of CNN, to select an opti