135 citations · 298 across the 23 of their papers we have counts for
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stat.ML2018
On variation of gradients of deep neural networks
Yongdai Kim, Dongha Kim
We provide a theoretical explanation of the role of the number of nodes at each layer in deep neural networks. We prove that the largest variation of a deep neural network with ReL…
stat.ML2018
Fast convergence rates of deep neural networks for classification
Yongdai Kim, Ilsang Ohn, Dongha Kim
We derive the fast convergence rates of a deep neural network (DNN) classifier with the rectified linear unit (ReLU) activation function learned using the hinge loss. We consider t…