Neural networks are modelled on the brain’s mesh-like network of interconnected processing elements, called neurons. The interconnected processors in a neural network; not unlike the brain, operate in parallel and interact dynamically. This ability enables the network to “learn” from the data it processes. It learns to distinguish patterns and relationships in data. The more data you input, the more it can learn.