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基于深度学习的图像识别系统研究

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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.
Research on Image Recognition System Based on Deep Learning
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.

deep learningCNNimage recognition

杨米娜

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山西工程科技职业大学,山西 晋中 030619

深度学习 卷积神经网络 图像识别

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(1)
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