Deep Learning with Keras

Neural Networks Foundations

Artificial neural networks (briefly, nets) represent a class of machine learning models, loosely inspired by studies about the central nervous systems of mammals. Each net is made up of several interconnected neurons, organized in layers, which exchange messages (they fire, in jargon) when certain conditions happen. Initial studies were started in the late 1950s with the introduction of the perceptron (for more information, refer to the article: The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, by F. Rosenblatt, Psychological Review, vol. 65, pp. 386 - 408, 1958), a two-layer network used for simple operations, and further expanded in the late 1960s with the introduction ...