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On the number of response regions of deep feed forward networks with
  piece-wise linear activations

On the number of response regions of deep feed forward networks with piece-wise linear activations

20 December 2013
Razvan Pascanu
Guido Montúfar
Yoshua Bengio
    FAtt
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Papers citing "On the number of response regions of deep feed forward networks with piece-wise linear activations"

6 / 56 papers shown
Title
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
29
777
0
16 Jun 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen
Amnon Shashua
20
152
0
01 Mar 2016
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
15
731
0
12 Dec 2015
Expressiveness of Rectifier Networks
Expressiveness of Rectifier Networks
Xingyuan Pan
Vivek Srikumar
OffRL
11
46
0
18 Nov 2015
Zero-bias autoencoders and the benefits of co-adapting features
Zero-bias autoencoders and the benefits of co-adapting features
K. Konda
Roland Memisevic
David M. Krueger
AI4CE
58
89
0
13 Feb 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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