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:
Jan. 17, 2023

Filed:

May. 06, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chi Keung Luk, Fremont, CA (US);

Jose Americo Baiocchi Paredes, Mountain View, CA (US);

Russell Power, Seattle, WA (US);

Mehmet Deveci, Santa Clara, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 3/08 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for debugging correctness issues in training machine learning models. In one aspect, a method comprises training a first machine learning model using a first computing system having a first configuration; training a second machine learning model using a second computing system having a second configuration, wherein the second configuration of the second computing system is different than the first configuration of the first computing system; and determining, for each of a plurality of shared training operations that are performed by both the first computing system and the second computing system, a respective similarity measure that measures a similarity between: a first training output generated by the first computing system by performing the shared training operation, and a second training output generated by the second computing system by performing the shared training operation.


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