公开(公告)号：US20200012932A1

公开(公告)日：2020-01-09

申请号：US16030859

申请日：2018-07-10

Applicant: National Central University

Inventor： Jia-Ching Wang ,  Chien-Yao Wang ,  Chih-Hsuan Yang

IPC: G06N3/08 ,  G06N3/04

Abstract: A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.

公开(公告)号：US11663462B2

公开(公告)日：2023-05-30

申请号：US16030859

申请日：2018-07-10

Applicant: National Central University

Inventor： Jia-Ching Wang ,  Chien-Yao Wang ,  Chih-Hsuan Yang

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.