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. 15, 2023

Filed:

Nov. 25, 2019
Applicant:

Shanghai Cambricon Information Technology Co., Ltd, Pudong New Area, CN;

Inventors:

Tianshi Chen, Pudong New Area, CN;

Shuai Hu, Pudong New Area, CN;

Yifan Hao, Pudong New Area, CN;

Yufeng Gao, Pudong New Area, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/54 (2006.01); G06N 3/063 (2023.01); G06F 9/22 (2006.01); G06F 12/0875 (2016.01); G06F 13/28 (2006.01); G06N 3/088 (2023.01); G06F 30/27 (2020.01); G06F 15/163 (2006.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); H04L 12/70 (2013.01);
U.S. Cl.
CPC ...
G06F 9/544 (2013.01); G06F 9/223 (2013.01); G06F 12/0875 (2013.01); G06F 13/28 (2013.01); G06F 15/163 (2013.01); G06F 30/27 (2020.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/063 (2013.01); G06N 3/088 (2013.01); G06F 2212/452 (2013.01); H04L 2012/5686 (2013.01);
Abstract

The present disclosure provides a processing device for performing generative adversarial network and a method for machine creation applying the processing device. The processing device includes a memory configured to receive input data including a random noise and reference data, and store a discriminator neural network parameter and a generator neural network parameter, and the processing device further includes a computation device configured to transmit the random noise input data into a generator neural network and perform operation to obtain a noise generation result, and input both of the noise generation result and the reference data into a discriminator neural network and perform operation to obtain a discrimination result, and further configured to update the discriminator neural network parameter and the generator neural network parameter according to the discrimination result.


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