디바이스의 성능이 높아짐에 따라 인공지능 응용도 급속도로 다양한 디바이스에 적용되고 있다. 디바이스에 적합한 빠른 신경망 개발은 기업의 경쟁력을 좌우하여, 이를 지원하기 위해 개발함과 동시에 바로 적용이 가능한 프레임워크인 MLOps(Machine Learning Operations)이 클라우드 서비스를 제공하는 글로벌 기업들에 의해 제공되고 있다. 하지만, 현재 제공되는 프레임워크는 고성능 자원을 유료로 제공하는 클라우드 서비스를 이용하였으며, 개발자가 원하는 타겟 디바이스에 최적인 신경망을 개발하는데 한계가 있었다. 본 논문에서는 추론 신경망이 구동되는 디바이스를 고려하여 최적의 신경망 및 응용이 개발될 수 있도록 프레임 워크를 구현하였다. 제안하는 프레임워크는 기존의 프레임워크에 비해 개발자가 인공지능에 다소 전문성이 부족하더라도 쉽고 빠르게 신경망을 개발할 수 있는 기능을 포함하였다. 그리고 개발된 프레임워크는 GitHub에 공개하여 관심있는 개발자 및 산업적용에 애로점이 있는 개발자에게 소스코드를 제공하고 있다.
KSP Keywords
machine Learning
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
Copyright Policy
ETRI KSP Copyright Policy
The materials provided on this website are subject to copyrights owned by ETRI and protected by the Copyright Act. Any reproduction, modification, or distribution, in whole or in part, requires the prior explicit approval of ETRI. However, under Article 24.2 of the Copyright Act, the materials may be freely used provided the user complies with the following terms:
The materials to be used must have attached a Korea Open Government License (KOGL) Type 4 symbol, which is similar to CC-BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives License). Users are free to use the materials only for non-commercial purposes, provided that original works are properly cited and that no alterations, modifications, or changes to such works is made. This website may contain materials for which ETRI does not hold full copyright or for which ETRI shares copyright in conjunction with other third parties. Without explicit permission, any use of such materials without KOGL indication is strictly prohibited and will constitute an infringement of the copyright of ETRI or of the relevant copyright holders.
J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
If you have any questions or concerns about these terms of use, or if you would like to request permission to use any material on this website, please feel free to contact us
KOGL Type 4:(Source Indication + Commercial Use Prohibition+Change Prohibition)
Contact ETRI, Research Information Service Section
Privacy Policy
ETRI KSP Privacy Policy
ETRI does not collect personal information from external users who access our Knowledge Sharing Platform (KSP). Unathorized automated collection of researcher information from our platform without ETRI's consent is strictly prohibited.
[Researcher Information Disclosure] ETRI publicly shares specific researcher information related to research outcomes, including the researcher's name, department, work email, and work phone number.
※ ETRI does not share employee photographs with external users without the explicit consent of the researcher. If a researcher provides consent, their photograph may be displayed on the KSP.