Invention Publication
- Patent Title: NEURAL NETWORK MODEL DEPLOYMENT METHOD AND APPARATUS FOR PROVIDING DEEP LEARNING SERVICE
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Application No.: US18209617Application Date: 2023-06-14
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Publication No.: US20240069875A1Publication Date: 2024-02-29
- Inventor: Jae-Bok PARK , Chang-Sik CHO , Kyung-Hee LEE , Ji-Young KWAK , Seon-Tae KIM , Hong-Soog KIM , Jin-Wuk SEOK , Hyun-Woo CHO
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR 20220106687 2022.08.25
- Main IPC: G06F8/36
- IPC: G06F8/36 ; G06F8/60 ; G06F9/451

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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