Title:
DEEP LEARNING TRAINING METHOD APPLYING VARIABLE DATA REPRESENTATION TYPE AND MOBILE DEVICE APPLYING SAME
Document Type and Number:
WIPO Patent Application WO/2024/135861
Kind Code:
A1
Abstract:
Provided are a deep learning training method applying a variable data representation type and a mobile device applying same. The deep learning network training method according to an embodiment of the present invention comprises: configuring a data representation type for each of layers constituting a deep learning network; and training the deep learning network while changing a representation type of data, which is input into each layer, according to the configured data representation type. Accordingly, by applying a variable data representation type for each layer and each channel when performing additional training or retraining, it is possible to perform additional training and retraining for a deep learning model on a mobile device with limited memory resources and power without a significant reduction in accuracy.
Inventors:
LEE, Sang Seol (12-240 Sinhyeon-ro,,Opo-eup, Gwangju-si, Gyeonggi-do, KR)
JANG, Sung Joon (265 Baekhyeon-ro,,Bundang-gu, Seongnam-si, Gyeonggi-do, KR)
PARK, Jong Hee (53 Junganggongwon-ro,,Bundang-gu, Seongnam-si, Gyeonggi-do, KR)
JANG, Sung Joon (265 Baekhyeon-ro,,Bundang-gu, Seongnam-si, Gyeonggi-do, KR)
PARK, Jong Hee (53 Junganggongwon-ro,,Bundang-gu, Seongnam-si, Gyeonggi-do, KR)
Application Number:
PCT/KR2022/020665
Publication Date:
June 27, 2024
Filing Date:
December 19, 2022
Export Citation:
Assignee:
KOREA ELECTRONICS TECHNOLOGY INSTITUTE (Bundang-gu, Seongnam-si, Gyeonggi-do, KR)
International Classes:
G06N3/0495; G06N3/0455; G06N3/0499
Attorney, Agent or Firm:
NAM, Choong Woo (Eonju-ro,Gangnam-gu, Seoul, KR)
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