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. 29, 2023

Filed:

May. 21, 2018
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Bo Zheng, Shenzhen, CN;

Zhibin Liu, Shenzhen, CN;

Rijia Liu, Shenzhen, CN;

Qian Chen, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/082 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); H04L 41/16 (2022.01); H04L 41/14 (2022.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); H04L 41/12 (2022.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); H04L 41/145 (2013.01); H04L 41/16 (2013.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04L 41/12 (2013.01);
Abstract

A method and an apparatus to build a machine learning based network model are described. For example, processing circuitry of an information processing apparatus obtains a data processing procedure of a first network model and a reference dataset that is generated by the first network model in the data processing procedure. The data processing procedure includes a first data processing step. Further, the processing circuitry builds a first sub-network in a second network model of a neural network type. The second network model is the machine learning based network model to be built. The first sub-network performs the first data processing step. Then, the processing circuitry performs optimization training on the first sub-network by using the reference dataset.


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