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:
Aug. 01, 2023

Filed:

Feb. 28, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Edouard Godfrey, Sunnyvale, CA (US);

Gianpaolo Fasoli, Redwood City, CA (US);

Kuangyu Wang, Cupertino, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 20/00 (2019.01); G06V 10/00 (2022.01); G06V 10/70 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 20/00 (2019.01);
Abstract

The subject technology receives assessment values determined by a first machine learning model deployed on a client electronic device, the assessment values being indicative of classifications of input data and the assessment values being associated with constraint data that comprises a probability distribution of the assessment values with respect to the classifications of the input data. The subject technology applies the assessment values determined by the first machine learning model to a second machine learning model to determine the classifications of the input data. The subject technology determines whether accuracies of the classifications determined by the second machine learning model conform with the probability distribution for corresponding assessment values determined by the first machine learning model. The subject technology retrains the first machine learning model when the accuracies of the classifications determined by the second machine learning model do not conform with the probability distribution.


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