Now that we have briefly familiarized ourselves with some insights on the nature of data processing, it's about time we see how the artificial cousins of our own biological neurons work themselves. We start with a creation of Frank Rosenblatt, dating back to the 1950s. He called this invention of his the Perceptron (http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.335.3398&rep=rep1&type=pdf). Essentially, you can think of the perceptron as a single neuron in an artificial neural network (ANN). Understanding how a single perceptron propagates information forward will serve as an excellent stepping stone to understanding the more state-of-the-art networks that we will face in later chapters:
