Neural network models are a method for teaching machines and computers to learn independently. They employ various linked nodes that input data into a system. The system can then evaluate which nodes are most important and rank input streams accordingly.
Neural network models are inspired by the biological neural networks found within the human brain. They are unique among computer programs in that they can efficiently deal with large amounts of data. Another feature of neural network models is that they become more efficient over time as the computer system learns what types of data to prioritize when making decisions and evaluating information.