Compression of deep neural networks

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United States of America Patent

PATENT NO 11966837
APP PUB NO 20200293876A1
SERIAL NO

16351712

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Abstract

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In an approach for compressing a neural network, a processor receives a neural network, wherein the neural network has been trained on a set of training data. A processor receives a compression ratio. A processor compresses the neural network based on the compression ratio using an optimization model to solve for sparse weights. A processor re-trains the compressed neural network with the sparse weights. A processor outputs the re-trained neural network.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kalagnanam, Jayant R Briarcliff Manor, US 68 943
Nguyen, Lam Ossining, US 59 687
Nguyen, Nam H Pleasantville, US 36 76
Phan, Dzung Ossining, US 6 37

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