Neural Nets
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Abstract
Artificial neural nets are networks containing a large number of relatively simple processors, roughly modeled on the brain. In a neural net, the complexity resides in the interconnections between neurons, which are usually connected in layers. Neural net science is not a new field, but it stagnated after the end of the sixties following the publication of a book by Minsky and Papert showing that perceptrons (two-layer neural nets) could only carry out a limited number of operations. The field revived in the early eighties after Hopfield showed that some of the problems of perceptrons could be alleviated by using more than two layers.
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