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pro vyhledávání: '"Tridgell, Stephen"'
Autor:
Tridgell, Stephen, Kumm, Martin, Hardieck, Martin, Boland, David, Moss, Duncan, Zipf, Peter, Leong, Philip H. W.
The computational complexity of neural networks for large scale or real-time applications necessitates hardware acceleration. Most approaches assume that the network architecture and parameters are unknown at design time, permitting usage in a large
Externí odkaz:
http://arxiv.org/abs/1909.04509
Autor:
Tridgell, Stephen
In recent years, there has been an exponential rise in the quantity of data being acquired and generated. Machine learning provides a way to use and analyze this data to provide a range of insights and services. In this thesis, two popular machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::5493daf1ba9b1675276503ef9bab7111
https://hdl.handle.net/2123/23030
https://hdl.handle.net/2123/23030
Akademický článek
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Publikováno v:
2015 International Conference on Field Programmable Technology (FPT); 2015, p136-143, 8p
Autor:
Fraser, Nicholas J., Moss, Duncan J.M., JunKyu Lee, Tridgell, Stephen, Jin, Craig T., Leong, Philip H.W.
Publikováno v:
2015 International Joint Conference on Neural Networks (IJCNN); 2015, p1-6, 6p