Research Status and Future Analysis of Capsule Neural Network

HE Wenliang, ZHU Minling

1. Computer School, Beijing Information Science & Technology University, Beijing 100101, China
• Online:2021-02-01 Published:2021-01-29

胶囊神经网络研究现状与未来的浅析

1. 北京信息科技大学 计算机学院，北京 100101

Abstract:

Nowadays, the rapid development of artificial intelligence technology has promoted the great progress of society. As an important part of artificial intelligence, deep learning has a very broad application prospect. In recent years, more and more experts and scholars have begun to study the related technologies in the field of deep learning. Two typical directions are natural language processing and computer vision. Among them, the development of computer vision strongly leads the progress in the field of deep learning. The application of convolutional neural network and a new neural network model in deep learning?capsule network and its dynamic routing algorithm are introduced, and their advantages and disadvantages are compared. Then, the application of capsule network is reviewed, and the application fields and advantages of capsule network are described in terms of image and text. Finally, the paper summarizes and looks forward to the possible improvement direction of capsule network.