no code implementations • 2 Jul 2019 • Lek-Heng Lim, Mateusz Michalek, Yang Qi
A high-level explanation is like that for the nonexistence of best rank-$r$ approximations of higher-order tensors --- the set of parameters is not a closed set --- but the geometry involved for best $k$-layer neural networks approximations is more subtle.
