There is no question that lately neural networks and deep learning are terms that have attracted a lot of attention. Although there is definitely a lot of hype and misunderstanding of these technologies, they are behind some of the most important developments and breakthroughs in the field of artificial intelligence—self-driving cars, language translators, speech recognition, super-human level players in many board games, computer vision, and many other achievements are directly related to different kinds of deep learning models.
In this chapter, we will learn about one basic type of neural network model—the MLPs will use these models to solve predictive analytics problems, in particular, we will apply them to solve the two examples we have been working on within the book. After finishing this chapter, we will be able to include...