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Tambov University Reports. Series: Natural and Technical Sciences, 2017, Volume 22, Issue 3, Pages 552–557
DOI: https://doi.org/10.20310/1810-0198-2017-22-3-552-557 (Mi vtamu112) 		 
Scientific articles

On the gradient of neuronetwork function

N. M. Mishachev, A. M. Shmyrin

Lipetsk State Technical University
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DOI: https://doi.org/10.20310/1810-0198-2017-22-3-552-557
Abstract: The paper proposes a matrix formula for the gradient of neuronetwork function $\nabla_W f(X;W)$ with respect to the parameter vector $W$.
Keywords: neuronetwork function, neural network, backpropagation algorithm, Hadamard product.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00854
The present research is supported by the Russian Fund for Basic Research (project № 16-07-00854_а).
Received: 02.03.2017
Document Type: Article
UDC: 519.85
Language: Russian
Citation: N. M. Mishachev, A. M. Shmyrin, “On the gradient of neuronetwork function”, Tambov University Reports. Series: Natural and Technical Sciences, 22:3 (2017), 552–557
Citation in format AMSBIB
\Bibitem{MisShm17}
\by N.~M.~Mishachev, A.~M.~Shmyrin
\paper On the gradient of neuronetwork function
\jour Tambov University Reports. Series: Natural and Technical Sciences
\yr 2017
\vol 22
\issue 3
\pages 552--557
\mathnet{http://mi.mathnet.ru/vtamu112}
\crossref{https://doi.org/10.20310/1810-0198-2017-22-3-552-557}
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