Target Classification Based on CNN

Version 0.1.0 (394 MB) by 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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Updated 23 Oct 2020
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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 (2024). Target Classification Based on CNN (https://github.com/PeiyuChen1005/CS166_MATLAB_CNN/releases/tag/0.1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
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.