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. 13, 2021

Filed:

Aug. 26, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Vincent O. Vanhoucke, San Francisco, CA (US);

Christian Szegedy, Mountain View, CA (US);

Sergey Ioffe, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06K 9/46 (2006.01); G06N 3/08 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/4628 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06K 9/00979 (2013.01);
Abstract

A neural network system that includes: multiple subnetworks that includes: a first subnetwork including multiple first modules, each first module including: a pass-through convolutional layer configured to process the subnetwork input for the first subnetwork to generate a pass-through output; an average pooling stack of neural network layers that collectively processes the subnetwork input for the first subnetwork to generate an average pooling output; a first stack of convolutional neural network layers configured to collectively process the subnetwork input for the first subnetwork to generate a first stack output; a second stack of convolutional neural network layers that are configured to collectively process the subnetwork input for the first subnetwork to generate a second stack output; and a concatenation layer configured to concatenate the pass-through output, the average pooling output, the first stack output, and the second stack output to generate a first module output for the first module.


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