Neural networks are algorithms inspired by the biological brain, although the extent to which they capture actual brain functionality is highly controversial, and claims that they model the biological brain are patently false. 1 Neural networks are made up of numerous interconnected conceptualized artificial neurons, which pass data between themselves, and which have associated weights which are tuned based upon the network's "experience." Neurons have activation thresholds which, if met by a combination of their associated weights and data passed to them, are fired; combinations of fired neurons result in "learning."
Matthew, Mayo. “Machine Learning Key Terms, Explained.” KDnuggets, KDnuggets, 10AD, 2016, https://www.kdnuggets.com/2016/05/machine-learning-key-terms-explained.html (1)