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pro vyhledávání: '"Pai, Ruby J"'
Autor:
Köster, Urs, Webb, Tristan J., Wang, Xin, Nassar, Marcel, Bansal, Arjun K., Constable, William H., Elibol, Oğuz H., Gray, Scott, Hall, Stewart, Hornof, Luke, Khosrowshahi, Amir, Kloss, Carey, Pai, Ruby J., Rao, Naveen
Deep neural networks are commonly developed and trained in 32-bit floating point format. Significant gains in performance and energy efficiency could be realized by training and inference in numerical formats optimized for deep learning. Despite adva
Externí odkaz:
http://arxiv.org/abs/1711.02213
Autor:
Pai, Ruby J
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 67-68).
At high rate, a sparse signal is optimally encoded through an adaptive stra
Includes bibliographical references (p. 67-68).
At high rate, a sparse signal is optimally encoded through an adaptive stra
Externí odkaz:
http://hdl.handle.net/1721.1/41623