Universal Approximation Property of Hamiltonian Deep Neural Networks

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Deep Neural Networks (DNNs) training can be difficult due to vanishing and exploding gradients during weight optimization through backpropagation. To address this problem, we propose a general class of Hamiltonian DNNs (H-DNNs) that stem from the discretiz ...

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Universal Approximation Property of Hamiltonian Deep Neural Networks

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