Основы глубокого обучения. Нихиль Будума

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R. M., Grubin D. The Secret Life of the Brain. Joseph Henry Press, 2001.

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      McCulloch W. S., Pitts W. A logical calculus of the ideas immanent in nervous activity // The Bulletin of Mathematical Biophysics. 1943. Vol. 5. No. 4. Pp. 115–133.

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      Mountcastle V. B. Modality and topographic properties of single neurons of cat’s somatic sensory cortex // Journal of Neurophysiology. 1957. Vol. 20. No. 4. Pp. 408–434.

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      Nair V., Hinton G. E. Rectified Linear Units Improve Restricted Boltzmann Machines // Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010.

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      Мы можем рассчитать значения неизвестных весов, решив систему линейных уравнений, и получим точное решение. Но такой подход возможен только для линейного нейрона. Для нелинейных составить систему уравнений и получить точное решение невозможно, поэтому необходимо обучение. Прим. науч. ред.

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      Rosenbloom P. The method of steepest descent // Proceedings of Symposia in Applied Mathematics. 1956. Vol. 6.

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      Rumelhart D. E., Hinton G. E., Williams R. J. Learning representations by backpropagating errors // Cognitive Modeling. 1988. Vol. 5. No. 3. P. 1.

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      http://stanford.io/2pOdNhy.

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