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The Expressivity and Training of Deep Neural Networks: toward the Edge
  of Chaos?

The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?

11 October 2019
Gege Zhang
Gang-cheng Li
Ningwei Shen
Weidong Zhang
ArXivPDFHTML

Papers citing "The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?"

3 / 3 papers shown
Title
Learning Reservoir Dynamics with Temporal Self-Modulation
Learning Reservoir Dynamics with Temporal Self-Modulation
Yusuke Sakemi
S. Nobukawa
Toshitaka Matsuki
Takashi Morie
Kazuyuki Aihara
19
6
0
23 Jan 2023
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
238
348
0
14 Jun 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
601
0
22 Sep 2016
1