Image Classification using VGG and ResNet50 - Yicong-Huang/Wildfires GitHub Wiki

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🚘 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