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Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics
The highly structured energy landscape of the loss as a function of parameters for deep neural networks makes it necessary to use sophisticated optimization strategies in order to discover (local) minima that guarantee reasonable performance.
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