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:
Nov. 17, 2020

Filed:

Nov. 21, 2017
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventor:

Aran Khanna, Bellevue, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G06T 7/73 (2017.01); G06K 9/20 (2006.01); G06K 9/78 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/209 (2013.01); G06K 9/78 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06T 7/75 (2017.01); G06T 2207/30232 (2013.01);
Abstract

Consistent distributed edge models via controlled dropout model training are described. According to some embodiments, a machine learning model is trained using multiple sensor data streams. During the training process, ones of the sensor data streams are dropped to cause the model to be generated to be robust in that it can tolerate missing input data from sensor data sources yet still maintain high accuracy. The model can be deployed to multiple sensor devices within an environment. The sensor devices generate sensor data and exchange a variety of types of data to ultimately result in a distributed, consistent model result being generated that remains accurate despite communication faults that may occur between ones of the sensor devices.


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