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:
Jul. 02, 2019

Filed:

Jul. 19, 2018
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Henry Gabriel Victor Bequet, Cary, NC (US);

Huina Chen, III, Chapel Hill, NC (US);

Juan Du, Cary, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/50 (2006.01); H04L 29/08 (2006.01); G06F 16/901 (2019.01); G06F 16/903 (2019.01); G06N 20/00 (2019.01); G06F 9/48 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/063 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5027 (2013.01); G06F 9/4843 (2013.01); G06F 16/9014 (2019.01); G06F 16/90344 (2019.01); G06K 9/6262 (2013.01); G06N 3/04 (2013.01); G06N 3/063 (2013.01); G06N 20/00 (2019.01); H04L 67/10 (2013.01);
Abstract

An apparatus includes a processor to: receive a request to repeat an earlier performance of a first job flow described in a job flow definition; analyze the job flow definition to determine whether the first job flow uses a neural network; in response to a determination that the first job flow uses a neural network, analyze an object associated with the first job flow to determine whether the neural network was trained using training data from a second job flow that does not use a neural network; and in response to a determination that such training data was so used, repeat the earlier performance of the first job flow, perform the second job flow with the same input data values as used in the repeated performance of the first job flow, and analyze corresponding output data values of both performances to determine a degree of accuracy of the neural network.


Find Patent Forward Citations

Bequet, Henry Gabriel Victor. (2019). Distributed neuromorphic processing performance accountability (U.S. Patent No. 10338968). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10338968

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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