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Found 2 papers, 1 papers with code
Neural Logic Rule Layers
Compared to e. g. decision trees or bayesian classifiers, DNN suffer from bad interpretability where we understand by interpretability, that a human can easily derive the relations modeled by the network.
Generalized Dilation Neural Networks
One of the strengths of convolutional layers is the ability to learn features about spatial relations in the input domain using various parameterized convolutional kernels.
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