Geodesic
On the gradient of neuronetwork function
Vestnik rossijskih universitetov. Matematika, Tome 22 (2017) no. 3, pp. 552-557

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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
Mots-clés : Hadamard product. 
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     author = {N. M. Mishachev and A. M. Shmyrin},
     title = {On the gradient of neuronetwork function},
     journal = {Vestnik rossijskih universitetov. Matematika},
     pages = {552--557},
     publisher = {mathdoc},
     volume = {22},
     number = {3},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VTAMU_2017_22_3_a6/}
}
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N. M. Mishachev; A. M. Shmyrin. On the gradient of neuronetwork function. Vestnik rossijskih universitetov. Matematika, Tome 22 (2017) no. 3, pp. 552-557. http://geodesic.mathdoc.fr/item/VTAMU_2017_22_3_a6/