Artificial neural networks (ANNs) are inspired by biological neural networks. They consist of an interconnected group of artificial neurons. In most cases, an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. However, there are also significant differences between ANNs and biological neural networks, for example, in how adaptation or signal transmission works.

Neurons perform the computational operations of a network; together with the weights, they form the neural network.

Deep learning is a broad family of machine learning techniques. The word “deep” refers to the fact that the nodes are typically organized in many layers.