Correlational Training of Morphological Neural Networks
Neural networks are typically trained using first-order methods and back-propagation. It is unclear whether this approach is optimal for morphological layers whose weight Jacobians are sparse and whose resulting parameter gradients can be poor. In this work, we propose a novel weight update method for morphological neu...
Konstantinos Fotopoulos, Petros Maragos
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