Similar to neurons in the human brain, artificial neural networks are formed by interconnected neurons, also called nodes, which interact with each other through axons, called edges. In a neural network, the nodes are stacked up in layers and generally start with a broad base. The first layer consists of raw data such as numeric values, text, images or sound, which are divided into nodes. Each node then sends information to the next layer of nodes through the network’s edges.
