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Showing 1 to 1 of 1 for “"K-FAC"”.
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Advances in Optimisation of Model Parameters and Hyperparameters for Neural Networks
… and the performant but fragile nature of the K-FAC algorithm. Inspired by this behaviour, we conclude this Thesis by seeking to unify the benefits of both approaches, combining the stabilising heuristics of second-order methods (such as Levenberg-Marquardt damping) with the efficient update …