The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 11, 2025

Filed:

Dec. 19, 2018
Applicant:

Movidius Ltd., Schiphol-Rijk, NL;

Inventors:

Xiaofan Xu, Dublin, IE;

Mi Sun Park, San Jose, CA (US);

Cormac M. Brick, San Francisco, CA (US);

Assignee:

Movidius Ltd., Schiphol-Rijk, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/082 (2023.01); G06N 3/04 (2023.01); G06N 3/044 (2023.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06T 7/70 (2017.01); G06N 20/00 (2019.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A pruned version of a neural network is generated by determining pruned versions of each a plurality of layers of the network. The pruned version of each layer is determined by sorting a set of channels of the layer based on respective weight values of each channel in the set. A percentage of the set of channels are pruned based on the sorting to form a thinned version of the layer. Accuracy of a thinned version of the neural network is tested, where the thinned version of the neural network includes the thinned version of the layer. The thinned version of the layer is used to generate the pruned version of the layer based on the accuracy of the thinned version of the neural network exceeding a threshold accuracy value. A pruned version of the neural network is generated to include the pruned versions of the plurality of layers.


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