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公开(公告)号:US20230237776A1
公开(公告)日:2023-07-27
申请号:US18131252
申请日:2023-04-05
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hanjoo CHO , Jeongin YUN , Hayoung YUN
IPC: G06V10/774 , G06V10/82
CPC classification number: G06V10/774 , G06V10/82
Abstract: An electronic apparatus includes: a communication interface; a memory storing at least one instruction; and a processor configured to execute the at least one instruction to: quantize a first neural network model for identifying an object, to acquire a second neural network model, control the communication interface to transmit information on the second neural network model to an external apparatus, receive, from the external apparatus, feature information for an image stored in the external apparatus acquired based on the second neural network model, and identification information corresponding to the feature information, and train the second neural network model based on the received feature information and the received identification information.
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公开(公告)号:US20220147806A1
公开(公告)日:2022-05-12
申请号:US17527305
申请日:2021-11-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jeongin YUN , Sungpill CHOI , Jonghun LEE
Abstract: An electronic device and a method for controlling are provided. The electronic device may include a memory storing first input data and first weight data used in operations of a neural network model and a processor configured to input the first input data and the first weight data into a first module, and acquire second input data and second weight data, where a part of the first input data is truncated, and where a part of the first weight data is truncated, input the second input data and the second weight data into a second module that performs multiplication operations, and acquire first output data, and based on scaling factors of the first input data and first weight data identified through the first module, convert the acquired first output data into a floating point form expressing a first bit as a unit scale and acquire second output data.
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