Artificial Neural Network

[ahtuh'fishuhl / 'nyoohruhl / 'netwerk] /atəˈfɪʃəl/ /ˈnjurəl/ /ˈnɛtwɜk/

A computational model based on a simplified view of the organisation of biological neurons in animal brains, which receive input data that is transformed and sent on to other neurons. Artificial neurons differ from biological neurons in many ways, particularly in how they are calibrated. An artificial neural network is said to be “deep” when it contains more than three layers of neurons. For example, Convolutional Neural Networks may contain dozens or even hundreds of layers of neurons. Source: Alban Leveau-Vallier (2025) ‘Glossary,’ trans. Michelle Noteboom, 'The World Through AI', JBE Books