公开(公告)号：US20250080768A1

公开(公告)日：2025-03-06

申请号：US18950354

申请日：2024-11-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Alexander Nikolaevich FILIPPOV ,  Kirill Igorevich SOLODSKIKH ,  Vladimir Maximovich CHIKIN ,  Dehua SONG ,  Stanislav Yuryevich KAMENEV ,  Irina ZHELAVSKAYA

IPC: H04N19/48 ,  H04N9/69 ,  H04N19/124

Abstract: Embodiments of this application provide a method method for transforming data and a related device. The method includes: obtaining an input image, wherein the input image includes N pixels, Nis a positive integer; performing a nonlinear transformation on values of the N pixels to obtain N first pixel values; obtaining, according to a quantized model and the N first pixel values, M second pixel values, wherein M is a positive integer; performing a reverse transformation corresponding to the nonlinear transformation on the M second pixel values to obtain M third pixel values; determining, according to the M third pixels values, an output image.

公开(公告)号：US20230112397A1

公开(公告)日：2023-04-13

申请号：US18074166

申请日：2022-12-02

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kirill Igorevich SOLODSKIKH ,  Vladimir Maximovich CHIKIN ,  Anna Dmitrievna TELEGINA ,  Valery Nikolaevich GLUKHOV

IPC: G06N3/08

Abstract: In an implementation, a neural network training method comprises: minimizing a loss function, the loss function comprising a scalable regularization factor defined by a differentiable periodic function configured to provide a finite number of minima selected based on a quantization scheme for the artificial neural network, whereby to constrain a connection weight value to one of a predetermined number of values of the quantization scheme, wherein the artificial neural network comprises multiple nodes each defining a quantized activation function configured to output a quantized activation value, wherein the multiple nodes are arranged in multiple layers, and wherein nodes in adjacent layers of the multiple layers are connected by connections each defining a quantized connection weight function configured to output a quantized connection weight value.