Neural networks are the newest branch of AI. Neural networks are inspired by how the human brain works. Originally, they were invented in the 1940s by Warren McCulloch and Walter Pitts. The neural network was a mathematical model that was used for describing how the human brain can solve problems.

We will use the phrase artificial neural network when talking about the mathematical model and use biological neural network when talking about the human brain. Artificial neural networks are supervised learning algorithms.

The way a neural network learns is more complex compared to other classification or regression models. The neural network model has a lot of internal variables, and the relationship between the input and output variables may go through multiple internal layers. Neural networks have higher accuracy as compared to other supervised learning algorithms.