Neural Network Architecture

Neural networks are the newest branch of Artificial Intelligence (AI). Neural networks are inspired by how the human brain works. They were invented in the 1940s by Warren McCulloch and Walter Pitts. The neural network was a mathematical model that was used to describe how the human brain can solve problems.

We will use ANN to refer to both the mathematical model, and the biological neural network when talking about the human brain.

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 involve multiple internal layers. Neural networks have higher accuracy than other supervised learning algorithms.

Note

Mastering neural networks with TensorFlow is a complex process. The purpose of this section is to provide you with an introductory resource to get started.

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