We will now experiment with the pre-trained ResNet50, InceptionV3, and VGG16 networks, and find out which one gives the best results. Each of the pre-trained models' weights are based on ImageNet. I have provided the links to the original papers for the ResNet, InceptionV3, and VGG16 architectures, for reference. Readers are advised to go over these papers, to get an in-depth understanding of these architectures and the subtle differences between them.
The VGG paper link is as follows:
- Title: Very Deep Convolutional Networks for Large-Scale Image Recognition
- Link: https://arxiv.org/abs/1409.1556
The ResNet paper link is as follows:
- Title: Deep Residual Learning for Image Recognition
- Link: https://arxiv.org/abs/1512.03385
The InceptionV3 paper link is as follows:
- Title: Rethinking the Inception Architecture for Computer Vision
- Link: https://arxiv...
