A straight line equation is a good place to start understanding how a neural network works. It's what we explored in my previous article, How Neural Networks Work – Explained Using the Straight Line Equation (y=ax+b) .

But, what if the relationship between the input and the output isn't linear?

We all know that in the real world, the data doesn't always follow a straight line pattern. This is where things start getting interesting: sometimes a single rule isn't enough to describe the relationship between the variables.

That’s where non-linearity comes in. It allows neural networks to capture changing behaviour in data.

In this article, we'll explore the concept of non-linearity that can capture complex relationships in data.…