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公开(公告)号:US20190188840A1
公开(公告)日:2019-06-20
申请号:US16032356
申请日:2018-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor: Namyeong Kwon , Hyohyeong Kang , Yongdeok Kim
Abstract: A semiconductor defect classification device includes feature extractors that are configured to receive images of semiconductor patterns on a wafer and to extract features of the images from the images, and a classifier that is configured to receive the features of the images and first meta information about the wafer and to use machine learning to classify a defect of the semiconductor patterns associated with the images based on the features of the images and the first meta information.
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公开(公告)号:US11488013B2
公开(公告)日:2022-11-01
申请号:US16562783
申请日:2019-09-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hwidong Na , Hyohyeong Kang , Hogyeong Kim , Hoshik Lee
IPC: G06N3/08
Abstract: A model training method and apparatus is disclosed, where the model training method acquires a recognition result of a teacher model and a recognition result of a student model for an input sequence and trains the student model such that the recognition result of the teacher model and the recognition result of the student model are not distinguished from each other.
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公开(公告)号:US11727275B2
公开(公告)日:2023-08-15
申请号:US17950521
申请日:2022-09-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hwidong Na , Hyohyeong Kang , Hogyeong Kim , Hoshik Lee
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: A model training method and apparatus is disclosed, where the model training method acquires a recognition result of a teacher model and a recognition result of a student model for an input sequence and trains the student model such that the recognition result of the teacher model and the recognition result of the student model are not distinguished from each other.
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公开(公告)号:US11244671B2
公开(公告)日:2022-02-08
申请号:US16549236
申请日:2019-08-23
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hogyeong Kim , Hyohyeong Kang , Hwidong Na , Hoshik Lee
Abstract: A model training method and apparatus is disclosed, where the model training method acquires first output data of a student model for first input data and second output data of a teacher model for second input data and trains the student model such that the first output data and the second output data are not distinguished from each other. The student model and the teacher model have different structures.
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公开(公告)号:US10713778B2
公开(公告)日:2020-07-14
申请号:US16032356
申请日:2018-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor: Namyeong Kwon , Hyohyeong Kang , Yongdeok Kim
Abstract: A semiconductor defect classification device includes feature extractors that are configured to receive images of semiconductor patterns on a wafer and to extract features of the images from the images, and a classifier that is configured to receive the features of the images and first meta information about the wafer and to use machine learning to classify a defect of the semiconductor patterns associated with the images based on the features of the images and the first meta information.
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