|
A singular Riemannian geometry approach to Deep Neural Networks.
|
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.
1.8.17