In this section we will describe some of the successful convolu- tional networks that have popularized deep learning and their archi- tectures. We will learn from examples good practices that constituted breakthroughs in massive classification tasks. These include LeNet-5, AlexNet, VGG-16 and Inception nets, among others. Furthermore, we will also discuss the the principles that allow to use deeper and deeper layers, describing ResNets, Network-in-network and Dense networks.