%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 }