Image Classification using VGG and ResNet50

🚘 How to use do image classification using CNN(VGG, and ResNet50)?

Contents

• Introduction of VGG
• Introduction of ResNet
• Reason for using both VGG and ResNet
• Author

Introduction of VGG

VGG is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”. The model achieves 92.7% top-5 test accuracy in ImageNet, which is a dataset of over 14 million images belonging to 1000 classes.

Introduction of ResNet

ResNet50 is a 50 layer Residual Network, which is also a kind of convolutional neural network model.

Author

Yutong Wang / @RainyTong