公开(公告)号：US20210081798A1

公开(公告)日：2021-03-18

申请号：US16835532

申请日：2020-03-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minkyoung CHO ,  Wonjo LEE ,  Seungwon LEE

IPC: G06N3/08 ,  G06N3/04

Abstract: A method and apparatus for the pruning of a neural network is provided. The method sets a weight threshold value based on a weight distribution of layers included in a neural network, predicts a change of inference accuracy of a neural network by pruning of each layer based on the weight threshold value, determines a current subject layer to be pruned with a weight threshold value among the layers included in the neural network, and prunes a determined current subject layer.

公开(公告)号：US20230274140A1

公开(公告)日：2023-08-31

申请号：US18144009

申请日：2023-05-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Songyi HAN ,  Seungwon LEE ,  Minkyoung CHO

IPC: G06N3/08 ,  G06N20/10

CPC classification number: G06N3/08 ,  G06N20/10

Abstract: A processor-implemented method of performing a convolution operation is provided. The method includes obtaining input feature map data and kernel data, determine the kernel data based on a number of input channels of the input feature map, a number of output channels of an output feature map, and a number of groups of the input feature map data and a number of groups of the kernel data related to the convolution operation, and performing the convolution operation based on the input feature map data and the determined kernel data.

公开(公告)号：US20220114453A1

公开(公告)日：2022-04-14

申请号：US17236503

申请日：2021-04-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Won-Jo LEE ,  Youngmin OH ,  Minkyoung CHO

IPC: G06N3/08 ,  G06K9/62

Abstract: A neural network pruning method includes: acquiring a first task accuracy of an inference task processed by a pretrained neural network; pruning, based on a channel unit, the neural network by adjusting weights between nodes of channels based on a preset learning weight and based on a channel-by-channel pruning parameter corresponding to a channel of each of a plurality of layers of the pretrained neural network; updating the learning weight based on the first task accuracy and a task accuracy of the pruned neural network; updating the channel-by-channel pruning parameter based on the updated learning weight and the task accuracy of the pruned neural network; and repruning, based on the channel unit, the pruned neural network based on the updated learning weight and based on the updated channel-by-channel pruning parameter.

公开(公告)号：US20210201132A1

公开(公告)日：2021-07-01

申请号：US16897461

申请日：2020-06-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Songyi HAN ,  Seungwon LEE ,  Minkyoung CHO

IPC: G06N3/08 ,  G06N20/10

Abstract: A processor-implemented method of performing a convolution operation is provided. The method includes obtaining input feature map data and kernel data, determine the kernel data based on a number of input channels of the input feature map, a number of output channels of an output feature map, and a number of groups of the input feature map data and a number of groups of the kernel data related to the convolution operation, and performing the convolution operation based on the input feature map data and the determined kernel data.

公开(公告)号：US20240346317A1

公开(公告)日：2024-10-17

申请号：US18752163

申请日：2024-06-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minkyoung CHO ,  Wonjo LEE ,  Seungwon LEE

IPC: G06N3/082 ,  G06N3/04

CPC classification number: G06N3/082 ,  G06N3/04

Abstract: A method and apparatus for the pruning of a neural network is provided. The method sets a weight threshold value based on a weight distribution of layers included in a neural network, predicts a change of inference accuracy of a neural network by pruning of each layer based on the weight threshold value, determines a current subject layer to be pruned with a weight threshold value among the layers included in the neural network, and prunes a determined current subject layer.

公开(公告)号：US20220108180A1

公开(公告)日：2022-04-07

申请号：US17191954

申请日：2021-03-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minkyoung CHO ,  Saerom CHOI ,  Seungwon LEE

IPC: G06N3/08

Abstract: A method and apparatus for compressing an artificial neural network may acquire weights corresponding to an artificial neural network trained in advance, wherein the artificial neural network includes a plurality of layers, and a processor configured to generate data for acquiring a change of behavior of the artificial neural network due to pruning of the artificial neural network based on the weights, determine a pruning threshold for pruning of the artificial neural network based on the change of the behavior of the artificial neural network, and compress the neural network based on the pruning threshold.

公开(公告)号：US20220067429A1

公开(公告)日：2022-03-03

申请号：US17159653

申请日：2021-01-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Donghyuk KWON ,  Minkyoung CHO

IPC: G06K9/62 ,  G06T3/40 ,  G06T7/33 ,  G06K9/00 ,  G06N3/04 ,  G06N3/08

Abstract: An image processing method and apparatus are provided. The image processing method includes obtaining a kernel that is deterministically defined based on an extension ratio of a first feature map, up-sampling the first feature map to a second feature map by performing a transposed convolution operation between the first feature map and the kernel, and outputting the second feature map.