摘要
深度学习框架Caffe是一种新型图像分类工具,不仅可以提升图像分类速度,而且可以提升图像分类精确度。因此,笔者以Caffe在图像分类中的应用为切入点,阐述了Caffe基本结构,从脚本下载、算法设计、模型设计3个方面,对Caffe在图像分类中的设计进行了适当探析。
Deep learning framework Caffe is a new image classification tool,which can not only improve the speed of image classification,but also improve the accuracy of image classification.Therefore,this paper takes the application of deep learning framework Caffe in image classification as the starting point,and expounds the basic structure of deep learning framework Caffe.From three aspects of script download,algorithm design and model design,the application design and application of deep learning framework Caffe in image classification are properly analyzed.
作者
许淑扬
Xu Shuyang(School of Information Engineering,Zhengzhou University,Zhengzhou Henan 450001,China)
出处
《信息与电脑》
2019年第23期95-96,共2页
Information & Computer