Target Classification Based on CNN
Updated 23 Oct 2020
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.
Peiyu Chen (2022). Target Classification Based on CNN (https://github.com/PeiyuChen1005/CS166_MATLAB_CNN/releases/tag/0.1.0), GitHub. Retrieved .
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