Method and apparatus for reducing computational complexity of convolutional neural networks

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12248866
APP PUB NO 20210406647A1
SERIAL NO

17473813

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A convolutional neural network (CNN) system for generating a classification for an input image is presented. The CNN system comprises circuitry running on clock cycles and configured to compute a product of two received values, and at least one non-transitory computer-readable medium that stores instructions for the circuitry to derive a feature map based on at least the input image; puncture at least one selection among the feature map and a kernel by setting the value of an element at an index of the at least one selection to zero and cyclic shifting a puncture pattern to achieve a 1/d reduction in number of clock cycles, where d is an integer and puncture interval value >1. The feature map is convolved with the kernel to generate an output, and a classification of the input image is generated based on the output.

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Patent Owner(s)

  • SAMSUNG ELECTRONICS CO., LTD.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Choi, Yoo Jin San Diego, US 58 744
El-Khamy, Mostafa San Diego, US 113 1344
Lee, Jungwon San Diego, US 486 3784

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