Neural networks are artificial intelligence models modeled on the human brain. They consist of a series of processing units that are interconnected.
An artificial neural network consists of layers of interconnected units (neurons) that pass information to each other under certain conditions. Each unit processes a specific signal and passes it on to the next unit. The network learns by processing signals and adjusting the connections between units.
In Deep Learning, there are usually many such layers, each with a very large number of neurons, which makes training very computationally intensive.