%0 Journal Article %1 journals/corr/abs-1806-05393 %A Xiao, Lechao %A Bahri, Yasaman %A Sohl-Dickstein, Jascha %A Schoenholz, Samuel S. %A Pennington, Jeffrey %D 2018 %J CoRR %K dblp %T Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. %U http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-05393 %V abs/1806.05393

@article{journals/corr/abs-1806-05393, added-at = {2018-08-13T00:00:00.000+0200}, author = {Xiao, Lechao and Bahri, Yasaman and Sohl-Dickstein, Jascha and Schoenholz, Samuel S. and Pennington, Jeffrey}, biburl = {https://www.bibsonomy.org/bibtex/2eb98e74583d838a64593a60d2013bc3d/dblp}, ee = {http://arxiv.org/abs/1806.05393}, interhash = {5d16f0bc9e38172546481ed95e0d6399}, intrahash = {eb98e74583d838a64593a60d2013bc3d}, journal = {CoRR}, keywords = {dblp}, timestamp = {2018-08-14T12:10:10.000+0200}, title = {Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-05393}, volume = {abs/1806.05393}, year = 2018 }