Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data on ShortScience.org

Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Dziugaite, Gintare Karolina and Roy, Daniel M.
arXiv e-Print archive - 2017 via Local Bibsonomy
Keywords: dblp

Write your summary here (You can use $\LaTeX$ and markdown syntax):

Anon Private

ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: