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9 December 2015
- 13:5413:54, 9 December 2015 diff hist +1,800 the loss surfaces of multilayer networks (Choromanska et al.) No edit summary
8 December 2015
- 18:3418:34, 8 December 2015 diff hist +188 the Wake-Sleep Algorithm for Unsupervised Neural Networks →Why is the Posterior Distribution is Intractable?
- 16:2916:29, 8 December 2015 diff hist +638 the Wake-Sleep Algorithm for Unsupervised Neural Networks No edit summary
- 16:0416:04, 8 December 2015 diff hist +7 the Wake-Sleep Algorithm for Unsupervised Neural Networks →Discussion
- 16:0316:03, 8 December 2015 diff hist +354 the Wake-Sleep Algorithm for Unsupervised Neural Networks No edit summary
7 December 2015
- 17:1517:15, 7 December 2015 diff hist +115 the Wake-Sleep Algorithm for Unsupervised Neural Networks →Model Limitations
- 16:2716:27, 7 December 2015 diff hist +9 the Wake-Sleep Algorithm for Unsupervised Neural Networks →Model Limitations
- 16:1416:14, 7 December 2015 diff hist +254 the Wake-Sleep Algorithm for Unsupervised Neural Networks →Introduction
30 November 2015
- 15:2415:24, 30 November 2015 diff hist +85 deep Sparse Rectifier Neural Networks →Discussion / Criticism
- 15:2215:22, 30 November 2015 diff hist +335 deep Sparse Rectifier Neural Networks →Discussion / Criticism
- 14:5614:56, 30 November 2015 diff hist +52 deep Sparse Rectifier Neural Networks →Discussion / Criticism
- 14:5414:54, 30 November 2015 diff hist +509 deep Sparse Rectifier Neural Networks →Criticism
28 November 2015
- 00:0000:00, 28 November 2015 diff hist −7 on the difficulty of training recurrent neural networks →Other Pathological Problems
- 00:0000:00, 28 November 2015 diff hist +77 on the difficulty of training recurrent neural networks →Other Pathological Problems
27 November 2015
- 23:5523:55, 27 November 2015 diff hist +13 on the difficulty of training recurrent neural networks →Scaling Down the Gradients
- 23:5423:54, 27 November 2015 diff hist +219 on the difficulty of training recurrent neural networks →Related Work
- 23:5323:53, 27 November 2015 diff hist +26 on the difficulty of training recurrent neural networks →Scaling Down the Gradients
- 23:5323:53, 27 November 2015 diff hist +26 on the difficulty of training recurrent neural networks →Dealing with Exploding and Vanishing Gradient
- 23:5223:52, 27 November 2015 diff hist −8 on the difficulty of training recurrent neural networks →From a geometric perspective
- 23:5223:52, 27 November 2015 diff hist −8 on the difficulty of training recurrent neural networks →From a dynamical systems perspective
- 23:5223:52, 27 November 2015 diff hist +108 on the difficulty of training recurrent neural networks →Background
- 23:5023:50, 27 November 2015 diff hist +173 on the difficulty of training recurrent neural networks →Related Work
- 23:4923:49, 27 November 2015 diff hist +29 on the difficulty of training recurrent neural networks →Other Pathological Problems
- 23:4823:48, 27 November 2015 diff hist +428 on the difficulty of training recurrent neural networks →Related Work
- 23:4623:46, 27 November 2015 diff hist +27 on the difficulty of training recurrent neural networks →Related Work
- 23:4523:45, 27 November 2015 diff hist +221 on the difficulty of training recurrent neural networks →From a dynamical systems perspective
- 23:4323:43, 27 November 2015 diff hist +242 on the difficulty of training recurrent neural networks →Introduction
- 23:4223:42, 27 November 2015 diff hist −24 on the difficulty of training recurrent neural networks →The Temporal Order Problem
- 23:4123:41, 27 November 2015 diff hist +23 on the difficulty of training recurrent neural networks →Background
- 23:3923:39, 27 November 2015 diff hist −49 on the difficulty of training recurrent neural networks →Other Pathological Problems
- 23:3923:39, 27 November 2015 diff hist 0 N File:Experimental results 2.png No edit summary current
- 23:3923:39, 27 November 2015 diff hist 0 N File:Experimental results.png No edit summary current
- 23:3923:39, 27 November 2015 diff hist −30 on the difficulty of training recurrent neural networks →Scaling Down the Gradients
- 23:3823:38, 27 November 2015 diff hist 0 N File:Gradient clipping.png No edit summary current
- 23:3823:38, 27 November 2015 diff hist 0 N File:Geometric perspective.png No edit summary current
- 23:3823:38, 27 November 2015 diff hist −22 on the difficulty of training recurrent neural networks No edit summary
- 23:3723:37, 27 November 2015 diff hist 0 N File:Dynamic perspective.png No edit summary current
- 23:3623:36, 27 November 2015 diff hist 0 File:Rnn 2.png uploaded a new version of "File:Rnn 2.png" current
- 23:3623:36, 27 November 2015 diff hist +14 on the difficulty of training recurrent neural networks →Background
- 23:3523:35, 27 November 2015 diff hist 0 File:Rnn 2.png uploaded a new version of "File:Rnn 2.png"
- 23:3523:35, 27 November 2015 diff hist 0 N File:Rnn 2.png No edit summary
- 23:3423:34, 27 November 2015 diff hist −78 on the difficulty of training recurrent neural networks No edit summary
- 23:3423:34, 27 November 2015 diff hist 0 File:Rnn.png uploaded a new version of "File:Rnn.png" current
- 23:3323:33, 27 November 2015 diff hist +11,856 N on the difficulty of training recurrent neural networks Created page with "= Paper Summary: On The Difficulty of Training Recurrent Neural Networks = == Introduction == Training Recurrent Neural Networks (RNN) is difficult, one of the most prominent p..."
25 November 2015
- 14:0314:03, 25 November 2015 diff hist +40 neural Turing Machines →Discussion
- 14:0314:03, 25 November 2015 diff hist +1 neural Turing Machines →Discussion
- 14:0214:02, 25 November 2015 diff hist +24 neural Turing Machines →Discussion
- 14:0214:02, 25 November 2015 diff hist +71 neural Turing Machines →Discussion
- 14:0014:00, 25 November 2015 diff hist −4 neural Turing Machines →Discussion
- 13:5913:59, 25 November 2015 diff hist −2 neural Turing Machines →Discussion