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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“You must recollect however that I know nothing of painting & that I detest it, unless it reminds me of something I have seen or think it possible to see.... Depend upon it of all the arts it is the most artificial & unnatural—& that by which the nonsense of mankind is the most imposed upon.”
—George Gordon Noel Byron (1788–1824)
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