公开(公告)号：US20240354571A1

公开(公告)日：2024-10-24

申请号：US18758735

申请日：2024-06-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiang Bao ,  Jingting Ma ,  Shuo Fu ,  Zhenjiang Ning

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A deep learning model training method includes after reverse calculation is performed at a first training phase of a deep learning model that includes layers, a first parameter of a first layer of the layers is adjusted. Further, a first adjustment value of the first parameter is determined, and whether the first adjustment value exceeds an adjustment upper limit is determined. When the adjustment upper limit is exceeded, the first adjustment value is modified to a second adjustment value, and the second adjustment value is less than or equal to the adjustment upper limit, so that the first parameter is adjusted based on the second adjustment value.

公开(公告)号：US20250077497A1

公开(公告)日：2025-03-06

申请号：US18949960

申请日：2024-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jingting Ma ,  Shuo Fu ,  Daihao Xue ,  Bing Wang ,  Mengyang Zhang

IPC: G06F16/22 ,  G06F16/28

Abstract: A vector search method includes: obtaining a to-be-queried vector; searching an index library for a first index corresponding to the to-be-queried vector, where the index library includes a plurality of indexes, each index corresponds to one first cluster, the first cluster includes a plurality of second clusters, each index records a first cluster center vector and a plurality of second cluster center vectors, feature vectors corresponding to the first cluster are clustered using the first cluster center vector, and feature vectors corresponding to each second cluster are clustered using each second cluster center vector; searching the first index for a second cluster center vector corresponding to the to-be-queried vector; finding a second cluster corresponding to the second cluster center vector based on the second cluster center vector; and searching a plurality of feature vectors included in the second cluster for a target feature vector related to the to-be-queried vector.