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Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

17 February 2018
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
ArXivPDFHTML

Papers citing "Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet"

4 / 4 papers shown
Title
Efficient shallow learning as an alternative to deep learning
Efficient shallow learning as an alternative to deep learning
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ronit D. Gross
Ido Kanter
19
17
0
15 Nov 2022
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Carles Roger Riera Molina
Camilo Rey
Thiago Serra
Eloi Puertas
O. Pujol
22
4
0
30 Jan 2022
Modern CNNs for IoT Based Farms
Modern CNNs for IoT Based Farms
P. Gikunda
17
5
0
15 Jul 2019
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
243
7,597
0
03 Jul 2012
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