An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases a neural network is an adaptive system that changes its structure during a learning phase. Neural networks are used to model complex relationships between inputs and outputs or to find patterns in data.
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“Nothing strengthens the judgment and quickens the conscience like individual responsibility. Nothing adds such dignity to character as the recognition of one’s self-sovereignty; the right to an equal place, everywhere conceded—a place earned by personal merit, not an artificial attainment by inheritance, wealth, family and position.”
—Elizabeth Cady Stanton (1815–1902)
“A culture may be conceived as a network of beliefs and purposes in which any string in the net pulls and is pulled by the others, thus perpetually changing the configuration of the whole. If the cultural element called morals takes on a new shape, we must ask what other strings have pulled it out of line. It cannot be one solitary string, nor even the strings nearby, for the network is three-dimensional at least.”
—Jacques Barzun (b. 1907)