In this chapter, you will learn about artificial neural networks, which forms the foundation for all deep learning. We will discuss what makes deep learning different from other forms of machine learning and then spend time diving into some of its specific and special features.
By the end of this chapter, we will have learned what makes deep learning a special subset of machine learning. We'll have an understanding of neural networks, how they mimic the brain, and the benefits of hidden layers for discrete element detection. We'll create a feedforward neural network, noting the role of the activation function in determining variable weights.
This chapter will cover the following topics:
- Contrasting deep learning with machine learning
- Comparing neural networks and the human brain
- Understanding the role of hidden layers
- Creating a feedforward...
