In machine learning, the Perceptron is an algorithm for supervised learning of binary classifiers. It is the simplest form of a neural network and serves as the building block for more complex architectures.
The Inputs
The perceptron takes several binary inputs ($x_1, x_2, ...$) and produces a single binary output.
The Weights
Weights ($w_1, w_2, ...$) express the importance of the respective inputs to the output.
Knowledge Check