基于深度学习的图像识别系统研究
Research on Image Recognition System Based on Deep Learning
杨米娜1
作者信息
- 1. 山西工程科技职业大学,山西 晋中 030619
- 折叠
摘要
针对深度学习在图像识别系统中的应用展开深入研究,并在此基础上,设计与实现一个图像识别系统,包括深度学习图像识别模型、图形化操作、网络服务三个功能模块.其中深度学习图像识别模型采用了卷积神经网络框架,并对其功能实现进行了详细阐述.
Abstract
This study conducts in-depth research on the application of deep learning in image recognition sys-tems,on this basis,an image recognition system is designed and implemented.It includes three functional mod-ules:deep learning image recognition model,graphical operation,and network service.The deep learning image recognition model adopts a convolutional neural network framework and provides a detailed explanation of its func-tional implementation,which provides certain reference value for research in related fields.
关键词
深度学习/卷积神经网络/图像识别Key words
deep learning/CNN/image recognition引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据