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公开(公告)号：US20200285938A1
公开(公告)日：2020-09-10
申请号：US16645344
申请日：2018-09-04
Inventor： Jun-mo KIM , Byung-ju KIM , Joo-chang KIM , Ye-gang LEE , Min-seok PARK , Ju-seung YUN , Jae-young LEE , Dong-gyu JOO
Abstract: The present disclosure provides a neural network training device for recognizing a class of an object included in an image based on an artificial intelligence (AI) system and an application thereof, the neural network training method including: acquiring, by using a first learning network model trained based on source training images respectively included in at least one class, feature information of a query image included in a class different from the at least one class; obtaining a generated image from the feature information of the query image by using a second learning network model acquiring feature information of the obtained generated image by using the first learning network model; and updating weights of layers respectively included in the first and second learning network models, based on a difference between the feature information of the query image and the feature information of the generated image and on a difference between the query image and the generated image.
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公开(公告)号：US20200285965A1
公开(公告)日：2020-09-10
申请号：US16645158
申请日：2018-09-06
Inventor： Jun-mo KIM , Ye-gang LEE , Byung-ju KIM , Si-haeng LEE , Min-seok PARK , Pyung-whan AHN , Jae-young LEE
Abstract: The disclosure relates to an artificial intelligence (AI) system for mimicking functions, such as cognition and determination as of the human brain, by utilizing a machine learning algorithm such as deep learning, and an application thereof. Provided are a neural network learning method according to an AI system and applications thereof, the method including extracting, by using a masking filter having an effective value in a specific portion of the masking filter including weight information of at least one hidden layer included in a learning network model, characteristics of input data according to weight information of a filter corresponding to the specific portion, comparing output data with target data, the output data being obtained from the learning network model based on extracted characteristics of the input data, and updating a size of the specific portion having the effective value in the masking filter, based on a result of the comparing.
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公开(公告)号：US20140168021A1
公开(公告)日：2014-06-19
申请号：US13908193
申请日：2013-06-03
Applicant: Samsung Electronics Co., Ltd.
Inventor： Min-seok PARK , Chee-hwan YANG
IPC: H01Q5/01
Abstract: An antenna module and an electronic apparatus include: an antenna element, and a clip which includes an antenna pattern, is formed of a metallic material, and electrically connects the antenna element to a circuit board to process an antenna signal through the antenna pattern.
Abstract translation: 天线模块和电子设备包括：天线元件和包括天线图案的夹子由金属材料形成，并且将天线元件电连接到电路板以通过天线图案处理天线信号。
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