Method and apparatus for generating fixed point neural network

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United States of America Patent

PATENT NO 11694073
APP PUB NO 20190180177A1
SERIAL NO

16196131

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Abstract

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A method and apparatus for generating a fixed point neural network are provided. The method includes selecting at least one layer of a neural network as an object layer, wherein the neural network includes a plurality of layers, each of the plurality of layers corresponding to a respective one of plurality of quantization parameters; forming a candidate parameter set including candidate parameter values with respect to a quantization parameter of the plurality of quantization parameters corresponding to the object layer; determining an update parameter value from among the candidate parameter values based on levels of network performance of the neural network, wherein each of the levels of network performance correspond to a respective one of the candidate parameter values; and updating the quantization parameter with respect to the object layer based on the update parameter value.

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Patent Owner(s)

Patent OwnerAddress
SAMSUNG ELECTRONICS CO LTDREPUBLIC OF KOREA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ha, Sang-hyuck Yongin-si, KR 39 636
Kim, Byeoung-su Hwaseong-si, KR 7 71
Kim, Do-yun Gwacheon-si, KR 48 284
Lim, Jong-han Seoul, KR 73 630
Sung, Nak-Woo Yongin-si, KR 12 120
Yim, Han-young Suwon-si, KR 4 62

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