公开(公告)号：US20230004816A1

公开(公告)日：2023-01-05

申请号：US17716292

申请日：2022-04-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Changgwun Lee ,  Kyoungyoung Kim ,  Byeoungsu Kim ,  Jaegon Kim ,  Hanyoung Yim ,  Jungmin Choi ,  Sanghyuck Ha

IPC: G06N3/10 ,  G06N3/04

Abstract: In a method of optimizing a neural network model, first model information about a first neural network model is received. Device information about a first target device that is used to execute the first neural network model is received. An analysis whether the first neural network model is suitable for executing on the first target device is performed, based on the first model information, the device information, and at least one of a plurality of suitability determination algorithms. A result of the analysis is output such that the first model information and the result of the analysis are displayed on a screen.

公开(公告)号：US20220335293A1

公开(公告)日：2022-10-20

申请号：US17672204

申请日：2022-02-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jungmin Choi ,  Kyoungyoung Kim ,  Byeoungsu Kim ,  Jaegon Kim ,  Changgwun Lee ,  Hanyoung Yim ,  Sanghyuck Ha

IPC: G06N3/08

Abstract: A method of optimizing a neural network model includes receiving original model information about a first neural network model that is pre-trained; generating a second neural network model and compressed model information about the second neural network model by performing a compression on the first neural network model; and outputting, on a screen, at least a part of the original model information and at least a part of the compressed model information.