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On Bridging the Gap between Mean Field and Finite Width in Deep Random
  Neural Networks with Batch Normalization

On Bridging the Gap between Mean Field and Finite Width in Deep Random Neural Networks with Batch Normalization

25 May 2022
Amir Joudaki
Hadi Daneshmand
Francis R. Bach
    AI4CE
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Papers citing "On Bridging the Gap between Mean Field and Finite Width in Deep Random Neural Networks with Batch Normalization"

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