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%0 Journal Article
%1 poggio2017theory
%A Poggio, Tomaso
%A Liao, Qianli
%A Liao, Qianli
%A Liao, Qianli
%D 2017
%K bounds deep-learning generalization learning theory
%T Theory II: Landscape of the Empirical Risk in Deep Learning
%U https://cbmm.mit.edu/publications/theory-ii-landscape-empirical-risk-deep-learning
@article{poggio2017theory,
added-at = {2019-10-03T12:37:42.000+0200},
author = {Poggio, Tomaso and Liao, Qianli and Liao, Qianli and Liao, Qianli},
biburl = {https://www.bibsonomy.org/bibtex/22f1f9d434d7b6e8334654f0a9305d3da/kirk86},
description = {Theory II: Landscape of the Empirical Risk in Deep Learning | The Center for Brains, Minds & Machines},
interhash = {83ecb6ac6b9b0662469978e7c4785720},
intrahash = {2f1f9d434d7b6e8334654f0a9305d3da},
keywords = {bounds deep-learning generalization learning theory},
timestamp = {2019-10-03T12:37:42.000+0200},
title = {Theory II: Landscape of the Empirical Risk in Deep Learning},
url = {https://cbmm.mit.edu/publications/theory-ii-landscape-empirical-risk-deep-learning},
year = 2017
}