Instead of just being taught to process and learn from raw data, computers teach themselves over time using a system similar to the human brain, in which neurons transfer information on paths known as neural circuits with junctions called synapses that connect different parts of the brain. These parts of the brain are arranged hierarchically as layers, and information is processed based on these layers. For instance, you may smell food first before realizing what it is and that you love the way it tastes. The concept of deep learning is loosely based on a similar arrangement that relies on algorithms that intercept data within a larger network to find patterns for future insight.