3 things to know about artificial neural nets Artificial neural nets consist of statistical models that are directly inspired by biological neural networks. These statistical models are capable of modeling and processing nonlinear relationships between different inputs and outputs in parallel.

Artificial neural networks are characterized by neurons that can be tuned by a learning algorithm. This learning algorithm is able to learn from observed data in order to improve the…

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4 benefits of using artificial neural nets Artificial neural nets have a remarkable capability of deriving meaning from complicated or imprecise data. This ability can be used for extracting patterns and detecting trends that are complicated for computer systems to understand.

An artificial neural net is an information processing paradigm whose working is similar to the working of biological nervous systems. The key element of an artificial neural network is the…

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