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. 23, 2024

Filed:

May. 22, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Michael Sahngwon Ryoo, Mountain View, CA (US);

Anthony Jacob Piergiovanni, Nazareth, PA (US);

Mingxing Tan, Newark, CA (US);

Anelia Angelova, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06T 1/20 (2006.01); G06T 3/4046 (2024.01); G06T 7/207 (2017.01); G06V 10/776 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06T 1/20 (2013.01); G06T 3/4046 (2013.01); G06T 7/207 (2017.01); G06V 10/776 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining one or more neural network architectures of a neural network for performing a video processing neural network task. In one aspect, a method comprises: at each of a plurality of iterations: selecting a parent neural network architecture from a set of neural network architectures; training a neural network having the parent neural network architecture to perform the video processing neural network task, comprising determining trained values of connection weight parameters of the parent neural network architecture; generating a new neural network architecture based at least in part on the trained values of the connection weight parameters of the parent neural network architecture; and adding the new neural network architecture to the set of neural network architectures.


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