Schematic diagram of a perceptron (top) and a collection of perceptrons combined to form a neural network (bottom). The yellow nodes are artificial neurons, the red are input data, and the blue are output classes. The perceptron’s output is a nonlinear function of the input vector, x, projected onto the weight vector, w, with some offset, b. The network shown is a DNN because it has multiple hidden layers.