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    Efficient Per-Example Gradient Computations

    Ian Goodfellow  ·  Published 2015-10-07
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    Abstract

    This technical report describes an efficient technique for computing the norm of the gradient of the loss function for a neural network with respect to its parameters. This gradient norm can be computed efficiently for every example.
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