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An artificial neural network is a system whose design was originally schematically inspired by the functioning of biological neurons, and which subsequently approached statistical methods.
Neural networks are generally optimized by probabilistic type learning methods, in particular Bayesian.
In machine learning, a convolutional neural network is a type of acyclic artificial neural network.
A recurrent neural network is an artificial neural network with recurrent connections.
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