Figure 3.

Schematic representation of an artificial neuron (top), and a simple neural network displaying three basic elements: input, hidden and output layers (bottom-left), and a deep neural network showing at least two hidden layers, or nodes (bottom-right). The calculation is performed through the connections, which contain the input data, the pre-assigned weights, and the paths defined by the activation function. If the result is far from expected, the weights of the connections are recalibrated, and the analysis continues, until the outcome is as accurate as possible.