Churn analysis using deep convolutional neural networks and autoencoders

18 April 2016

Papers citing "Churn analysis using deep convolutional neural networks and autoencoders"

5 / 5 papers shown

Title
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 452 43,649 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,509 0 01 Sep 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 146 6,626 0 22 Dec 2012
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 85 1,419 0 23 Nov 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 447 7,660 0 03 Jul 2012