Perceptron was the name that Frank Rosenblatt gave to the first neural model in 1957. A perceptron is a neural network with a single layer of input linear neurons, followed by an output unit based on the sign(•) function (alternatively, it's possible to consider a bipolar unit whose output is -1 and 1). The architecture of a perceptron is shown in the following diagram:
Even if the diagram can appear as quite complex, a perceptron can be summarized by the following equation:
All the vectors are conventionally column-vectors; therefore, ...
