Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability

10 Feb 2018Marjolein TroostKatja SeeligerMarcel van Gerven

An important issue in neural network research is how to choose the number of nodes and layers such as to solve a classification problem. We provide new intuitions based on earlier results by An et al. (2015) by deriving an upper bound on the number of nodes in networks with two hidden layers such that linear separability can be achieved... (read more)

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