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In page Neural network (machine learning):

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Stochastic neural networks originating from Sherrington–Kirkpatrick models are a type of artificial neural network built by introducing random variations into the network, either by giving the network's artificial neurons stochastic transfer functions[citation needed], or by giving them stochastic weights. This makes them useful tools for optimization problems, since the random fluctuations help the network escape from local minima.[1] Stochastic neural networks trained using a Bayesian approach are known as Bayesian neural networks.[2]