In this chapter, we saw what is NNs, how it is present in our daily life, and how it was inspired by neuroscience. It also covered deep learning. The following list briefs the deep learning concepts explored in the present chapter:

• Neurons (or nodes)
• Activation functions
• Layers (input, output, and hidden)

In practice, it introduced how to design and train deep learn models through Keras while exploring UCI credit card data. Techniques meant to fight overfitting were also demonstrated during the objective example. Over the next chapter, readers will learn about Hidden Markov models.