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Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier, François Malgouyres, François Bachoc
Is a sample rich enough to determine, at least locally, the parameters of a neural network? To answer this question, we introduce a new local parameterization of a given deep ReLU…
math.ST2021
Parameter identifiability of a deep feedforward ReLU neural network
Joachim Bona-Pellissier, François Bachoc, François Malgouyres
The possibility for one to recover the parameters-weights and biases-of a neural network thanks to the knowledge of its function on a subset of the input space can be, depending on…