Target Classification Based on CNN
A simple CNN based image classification project uses the alexnet pre training model for migration learning. The accuracy rate of the data se
https://github.com/PeiyuChen1005/CS166_MATLAB_CNN/releases/tag/0.1.0
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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.
Cite As
Peiyu Chen (2026). Target Classification Based on CNN (https://github.com/PeiyuChen1005/CS166_MATLAB_CNN/releases/tag/0.1.0), GitHub. Retrieved .
General Information
- Version 0.1.0 (394 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 0.1.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
