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Geometrization of deep networks for the interpretability of deep
  learning systems

Geometrization of deep networks for the interpretability of deep learning systems

6 January 2019
Xiao Dong
Ling Zhou
    AI4CE
ArXivPDFHTML

Papers citing "Geometrization of deep networks for the interpretability of deep learning systems"

3 / 3 papers shown
Title
Understanding over-parameterized deep networks by geometrization
Understanding over-parameterized deep networks by geometrization
Xiao Dong
Ling Zhou
GNN
AI4CE
21
7
0
11 Feb 2019
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
242
348
0
14 Jun 2018
The Euler-Poincare theory of Metamorphosis
The Euler-Poincare theory of Metamorphosis
Darryl D. Holm
A. Trouvé
L. Younes
60
87
0
04 Jun 2008
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