In Chapter 3, Diving Deep into Neural Networks, we built an image classifier using a popular Convolutional Neural Network (CNN) architecture called ResNet, but we used this model as a black box. In this chapter, we will cover the important building blocks of convolutional networks. Some of the important topics that we will be covering in this chapter are:
- Introduction to neural networks
- Building a CNN model from scratch
- Creating and exploring a VGG16 model
- Calculating pre-convoluted features
- Understanding what a CNN model learns
- Visualizing weights of the CNN layer
We will explore how we can build an architecture from scratch for solving image classification problems, which are the most common use cases. ...
