System and methods for efficiently implementing a convolutional neural network incorporating binarized filter and convolution operation for performing image classification

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United States of America Patent

PATENT NO 10311342
SERIAL NO

15487091

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Abstract

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Systems, apparatuses, and methods for efficiently and accurately processing an image in order to detect and identify one or more objects contained in the image, and methods that may be implemented on mobile or other resource constrained devices. Embodiments of the invention introduce simple, efficient, and accurate approximations to the functions performed by a convolutional neural network (CNN); this is achieved by binarization (i.e., converting one form of data to binary values) of the weights and of the intermediate representations of data in a convolutional neural network. The inventive binarization methods include optimization processes that determine the best approximations of the convolution operations that are part of implementing a CNN using binary operations.

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Patent Owner(s)

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THE ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE615 WESTLAKE AVE N SEATTLE WA 98109

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Farhadi, Ali Seattle, US 6 3
Rastegari, Mohammad Bothell, US 6 1

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