A singular Riemannian geometry approach to Deep Neural Networks.
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Public Attributes | |
std::vector< double > | x_max |
std::vector< double > | x_min |
std::vector< double > | y_max |
std::vector< double > | y_min |
Structure in which we save max and min of the components of the data.