Before revision:  This leads us to believe that tensor rank may pave way to explaining both implicit regularization of neural networks , and the properties of real-world data translating this implicit regularization to generalization.
After revision:  This leads us to believe that tensor rank may pave way to explaining both implicit regularization in deep learning , and the properties of real-world data translating this implicit regularization to generalization.