Invariance of Weight Distributions in Rectified MLPs

ICML 2018 Russell TsuchidaFarbod Roosta-KhorasaniMarcus Gallagher

An interesting approach to analyzing neural networks that has received renewed attention is to examine the equivalent kernel of the neural network. This is based on the fact that a fully connected feedforward network with one hidden layer, a certain weight distribution, an activation function, and an infinite number of neurons can be viewed as a mapping into a Hilbert space... (read more)

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