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Convergence Analysis for Learning Orthonormal Deep Linear Neural
  Networks

Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks

24 November 2023
Zhen Qin
Xuwei Tan
Zhihui Zhu
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Papers citing "Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks"

2 / 2 papers shown
Title
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
67
44
0
04 Feb 2021
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
347
0
14 Jun 2018
1