"Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, ..."

Lechao Xiao et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-08-13

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1806-05393
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1806-05393
Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington:
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. CoRR abs/1806.05393 (2018)

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