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Random orthogonal additive filters: a solution to the
  vanishing/exploding gradient of deep neural networks

Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks

3 October 2022
Andrea Ceni
    ODL
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Papers citing "Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks"

1 / 1 papers shown
Title
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
220
348
0
14 Jun 2018
1