Target Classification Based on CNN

版本 0.1.0 (393.7 MB) 作者: Peiyu Chen
A simple CNN based image classification project uses the alexnet pre training model for migration learning. The accuracy rate of the data se
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更新时间 2020/10/23

A simple CNN based image classification project uses the alexnet pre training model for migration learning. The accuracy rate of the data set integrated by Imagenet and kaggle can reach 70%. It is a learning course for CNN beginners.

Final Project of CS166 SJTU:Target classification based on MATLAB -- taking animal classification as an example.

引用格式

Peiyu Chen (2024). Target Classification Based on CNN (https://github.com/PeiyuChen1005/CS166_MATLAB_CNN/releases/tag/0.1.0), GitHub. 检索来源 .

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版本 已发布 发行说明
0.1.0

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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库