Translations:Neural Networks/35/en: Difference between revisions

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    * Cybenko, G. (1989). "Approximation by Superpositions of a Sigmoidal Function". ''Mathematics of Control, Signals, and Systems''.
    * Cybenko, G. (1989). "Approximation by Superpositions of a Sigmoidal Function". ''Mathematics of Control, Signals, and Systems''.
    * Hornik, K. (1991). "Approximation Capabilities of Multilayer Feedforward Networks". ''Neural Networks''.
    * Hornik, K. (1991). "Approximation Capabilities of Multilayer Feedforward Networks". ''Neural Networks''.
    * LeCun, Y., Bengio, Y. and Hinton, G. (2015). "Deep learning". ''Nature'', 521, 436–444.
    * LeCun, Y., Bengio, Y. and Hinton, G. (2015). "{{Term|deep learning}}". ''Nature'', 521, 436–444.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning''. MIT Press.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning''. MIT Press.

    Latest revision as of 23:34, 27 April 2026

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    Message definition (Neural Networks)
    * Rosenblatt, F. (1958). "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain". ''Psychological Review''.
    * Cybenko, G. (1989). "Approximation by Superpositions of a Sigmoidal Function". ''Mathematics of Control, Signals, and Systems''.
    * Hornik, K. (1991). "Approximation Capabilities of Multilayer Feedforward Networks". ''Neural Networks''.
    * LeCun, Y., Bengio, Y. and Hinton, G. (2015). "{{Term|deep learning}}". ''Nature'', 521, 436–444.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning''. MIT Press.
    • Rosenblatt, F. (1958). "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain". Psychological Review.
    • Cybenko, G. (1989). "Approximation by Superpositions of a Sigmoidal Function". Mathematics of Control, Signals, and Systems.
    • Hornik, K. (1991). "Approximation Capabilities of Multilayer Feedforward Networks". Neural Networks.
    • LeCun, Y., Bengio, Y. and Hinton, G. (2015). "deep learning". Nature, 521, 436–444.
    • Goodfellow, I., Bengio, Y. and Courville, A. (2016). Deep Learning. MIT Press.
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