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

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.