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A Framework for the construction of upper bounds on the number of affine
  linear regions of ReLU feed-forward neural networks

A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks

5 June 2018
Peter Hinz
Sara van de Geer
ArXivPDFHTML

Papers citing "A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks"

5 / 5 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
117
36
0
29 Apr 2023
Bounding and Counting Linear Regions of Deep Neural Networks
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
47
248
0
06 Nov 2017
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
49
780
0
16 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
244
7,951
0
23 May 2016
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
72
1,249
0
08 Feb 2014
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