Let's understand the most basic building block of a neural network, the perceptron, also known as the artificial neuron. The concept of the perceptron originated in the works of Frank Rosenblatt in 1962.
In the most simplified view, a perceptron is modeled after the biological neurons such that it takes one or multiple inputs and combines them to generate output.
As shown in the following image, the perceptron takes three inputs and adds them to generate output y:
This perceptron is too simple to be of any practical ...