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Bounds on the Approximation Power of Feedforward Neural Networks

Bounds on the Approximation Power of Feedforward Neural Networks

29 June 2018
M. Mehrabi
A. Tchamkerten
Mansoor I. Yousefi
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Papers citing "Bounds on the Approximation Power of Feedforward Neural Networks"

8 / 8 papers shown
Title
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
99
894
0
08 Sep 2017
Why Deep Neural Networks for Function Approximation?
Why Deep Neural Networks for Function Approximation?
Shiyu Liang
R. Srikant
132
385
0
13 Oct 2016
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
195
1,227
0
03 Oct 2016
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
61
788
0
16 Jun 2016
Learning Functions: When Is Deep Better Than Shallow
Learning Functions: When Is Deep Better Than Shallow
H. Mhaskar
Q. Liao
T. Poggio
69
144
0
03 Mar 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
356
608
0
14 Feb 2016
Representation Benefits of Deep Feedforward Networks
Representation Benefits of Deep Feedforward Networks
Matus Telgarsky
76
242
0
27 Sep 2015
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
88
1,254
0
08 Feb 2014
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