User contributions for Rtwang
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17 December 2015
- 22:0922:09, 17 December 2015 diff hist +57 on using very large target vocabulary for neural machine translation No edit summary
12 December 2015
- 21:1621:16, 12 December 2015 diff hist +1,936 joint training of a convolutional network and a graphical model for human pose estimation →Convolutional Network Part-Detector
- 21:1021:10, 12 December 2015 diff hist 0 N File:Moment.PNG No edit summary current
- 20:5820:58, 12 December 2015 diff hist 0 N File:Nmomentum.PNG No edit summary current
- 20:2120:21, 12 December 2015 diff hist +108 very Deep Convoloutional Networks for Large-Scale Image Recognition →References
- 20:2120:21, 12 December 2015 diff hist +873 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Framework
- 13:5213:52, 12 December 2015 diff hist +31 learning Phrase Representations →Alternative Models
- 13:5113:51, 12 December 2015 diff hist +412 learning Phrase Representations →Alternative Models
- 13:4013:40, 12 December 2015 diff hist +1 learning Phrase Representations →Alternative Models
- 13:3913:39, 12 December 2015 diff hist +285 learning Phrase Representations →Alternative Models
- 13:3913:39, 12 December 2015 diff hist −273 learning Phrase Representations →References
- 13:3913:39, 12 December 2015 diff hist +273 learning Phrase Representations →References
- 13:3913:39, 12 December 2015 diff hist +731 learning Phrase Representations →Alternative Models
- 13:3813:38, 12 December 2015 diff hist 0 N File:CONTINUOUS.PNG No edit summary current
- 13:2713:27, 12 December 2015 diff hist +22 learning Phrase Representations No edit summary
- 13:2013:20, 12 December 2015 diff hist +992 deep Sparse Rectifier Neural Networks →Advantages of rectified linear units
- 13:1913:19, 12 December 2015 diff hist 0 N File:RLU.PNG No edit summary current
4 December 2015
- 00:2600:26, 4 December 2015 diff hist +6 on the difficulty of training recurrent neural networks →The Temporal Order Problem
- 00:2400:24, 4 December 2015 diff hist −10 on the difficulty of training recurrent neural networks →Summary
- 00:2200:22, 4 December 2015 diff hist +2 on the difficulty of training recurrent neural networks →From a geometric perspective
- 00:2100:21, 4 December 2015 diff hist 0 on the difficulty of training recurrent neural networks →From a dynamical systems perspective
- 00:1800:18, 4 December 2015 diff hist −71 on the difficulty of training recurrent neural networks →The Mechanics