In this Advisor, we illustrate a five-step neural network development process. Neural networks are systems of nodes, “neurons,” or processing elements arranged in multiple layers. The nodes are connected by links that, at any given moment, either pass information or don’t pass information from one node to the next. Upon the passing of information, certain connections become stronger. As specific outcomes or results are reinforced, pathways become stronger and the network comes to identify specific pathways with particular outcomes. This process is called training. As the network becomes exposed to more data and as it is reinforced, it continues to modify its outcomes and “learns.”