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. 18, 2025

Filed:

Jun. 14, 2023
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Jae-Bok Park, Daejeon, KR;

Chang-Sik Cho, Daejeon, KR;

Kyung-Hee Lee, Daejeon, KR;

Ji-Young Kwak, Gwangju, KR;

Seon-Tae Kim, Daejeon, KR;

Hong-Soog Kim, Daejeon, KR;

Jin-Wuk Seok, Daejeon, KR;

Hyun-Woo Cho, Sejong-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/35 (2018.01); G06F 8/36 (2018.01); G06F 8/60 (2018.01); G06F 9/451 (2018.01); G06N 3/08 (2023.01); G06N 3/10 (2006.01); G05B 15/02 (2006.01); G06N 3/045 (2023.01); G06N 3/082 (2023.01); G06Q 30/0283 (2023.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06N 3/10 (2013.01); G06F 8/36 (2013.01); G06F 8/60 (2013.01); G06F 9/453 (2018.02); G06N 3/08 (2013.01); G05B 15/02 (2013.01); G06N 3/045 (2023.01); G06N 3/082 (2013.01); G06Q 30/0283 (2013.01); G06V 20/69 (2022.01);
Abstract

Disclosed herein are a neural network model deployment method and apparatus for providing a deep learning service. The neural network model deployment method may include providing a specification wizard to a user, searching for and training a neural network based on a user requirement specification that is input through the specification wizard, generating a neural network template code based on the user requirement specification and the trained neural network, converting the trained neural network into a deployment neural network that is usable in a target device based on the user requirement specification, and deploying the deployment neural network to the target device.


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