Neural activity space or manifold that represents object information changes across the layers of a deep neural network. Here the authors present a theoretical account of the relationship between the geometry of the manifolds and the classification capacity of the neural networks.
- Uri Cohen
- SueYeon Chung
- Haim Sompolinsky