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The term deep learning was introduced to the machine learning community by Rina Dechter in 1986, and to artificial neural networks by Igor Aizenberg and colleagues in 2000, in the context of Boolean threshold neurons. The etymology of the term is more complicated.

Interpretations

Deep neural networks are generally interpreted in terms of the universal approximation theorem or probabilistic inference.

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