Web: http://arxiv.org/abs/2009.04077

Jan. 14, 2022, 2:10 a.m. | Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna

cs.LG updates on arXiv.org arxiv.org

In addition to being extremely non-linear, modern problems require millions
if not billions of parameters to solve or at least to get a good approximation
of the solution, and neural networks are known to assimilate that complexity by
deepening and widening their topology in order to increase the level of
non-linearity needed for a better approximation. However, compact topologies
are always preferred to deeper ones as they offer the advantage of using less
computational units and less parameters. This compacity comes at the price of
reduced non-linearity and thus, of …

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