Hands-On Convolutional Neural Networks with TensorFlow

VGG, Inception Modules, Residuals, and MobileNets

So far, we have discussed all the necessary building blocks for us to be able to implement solutions to common problems such as image classification and detection. In this chapter, we will talk about the implementation of some common model architectures that have shown high performance in many of these common tasks. These architectures have remained popular since they were first created, and they continue to be widely used today.

By the end of this chapter, you will gain an understanding of the different types of CNN models that exist, along with their use cases in a variety of different computer vision problems. While implementing these models, you will learn how these models were designed ...