Deep Learning for Vision Systems

5 Advanced CNN architectures

This chapter covers

• Working with CNN design patterns
• Understanding the LeNet, AlexNet, VGGNet, Inception, and ResNet network architectures

Welcome to part 2 of this book. Part 1 presented the foundation of neural networks architectures and covered multilayer perceptrons (MLPs) and convolutional neural networks (CNNs). We wrapped up part 1 with strategies to structure your deep neural network projects and tune their hyperparameters to improve network performance. In part 2, we will build on this foundation to develop computer vision (CV) systems that solve complex image classification and object detection problems.

In chapters 3 and 4, we talked about the main components of CNNs and setting up hyperparameters such ...