A Deeper Dive into Neural Networks

In this chapter, we will encounter more in-depth details of neural networks. We will start from building a perceptron. Moving on, we will learn about activation functions. And we will also be training our first perceptron.

In this chapter, we will cover the following topics:

• From the biological to the artificial neuron – the perceptron
• Building a perceptron
• Learning through errors
• Training a perceptron
• Backpropagation
• Scaling the perceptron
• A single layered network