User contributions for X435liu
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6 December 2015
- 21:0621:06, 6 December 2015 diff hist +345 generating text with recurrent neural networks →Qualitative Experiments
- 18:2418:24, 6 December 2015 diff hist +322 learning Convolutional Feature Hierarchies for Visual Recognition →Method
- 18:1718:17, 6 December 2015 diff hist +238 learning Convolutional Feature Hierarchies for Visual Recognition →Method
- 17:5817:58, 6 December 2015 diff hist +394 learning Convolutional Feature Hierarchies for Visual Recognition →Overview
5 December 2015
- 20:4920:49, 5 December 2015 diff hist +8 m deep Convolutional Neural Networks For LVCSR →Results with Proposed Architecture
- 20:4620:46, 5 December 2015 diff hist +216 deep Convolutional Neural Networks For LVCSR →Optimal Feature Set
- 20:3320:33, 5 December 2015 diff hist +301 deep Convolutional Neural Networks For LVCSR →Number of Hidden Units
- 19:4819:48, 5 December 2015 diff hist −8 m very Deep Convoloutional Networks for Large-Scale Image Recognition No edit summary
- 19:4719:47, 5 December 2015 diff hist +244 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 19:4619:46, 5 December 2015 diff hist 0 N File:ConvNet3.PNG No edit summary current
- 19:4219:42, 5 December 2015 diff hist +15 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 19:4119:41, 5 December 2015 diff hist +190 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 19:3919:39, 5 December 2015 diff hist 0 N File:ConvNet2.PNG No edit summary current
- 19:3819:38, 5 December 2015 diff hist +32 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 19:3719:37, 5 December 2015 diff hist 0 N File:ConvNet1.PNG No edit summary current
- 19:3519:35, 5 December 2015 diff hist +357 very Deep Convoloutional Networks for Large-Scale Image Recognition →Conv.Net Configurations
- 19:2519:25, 5 December 2015 diff hist 0 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Conclusion
- 18:0718:07, 5 December 2015 diff hist +297 deep Sparse Rectifier Neural Networks →Results
- 18:0118:01, 5 December 2015 diff hist +570 deep Sparse Rectifier Neural Networks No edit summary
- 17:4817:48, 5 December 2015 diff hist −2 m deep Sparse Rectifier Neural Networks No edit summary
- 17:4817:48, 5 December 2015 diff hist +35 m deep Sparse Rectifier Neural Networks No edit summary
- 17:4717:47, 5 December 2015 diff hist +304 deep Sparse Rectifier Neural Networks →Biological Plausibility and Sparsity
- 17:3417:34, 5 December 2015 diff hist +342 deep Sparse Rectifier Neural Networks →Introduction
17 November 2015
- 23:0423:04, 17 November 2015 diff hist +275 dropout →Result
- 22:5522:55, 17 November 2015 diff hist +354 dropout →Result
- 22:5522:55, 17 November 2015 diff hist 0 N File:Dropout.PNG No edit summary current
- 22:4822:48, 17 November 2015 diff hist −1 m dropout →Effects of Dropout
- 22:4722:47, 17 November 2015 diff hist +276 dropout →Effects of Dropout
- 18:4318:43, 17 November 2015 diff hist +451 dropout →Model
13 November 2015
- 22:4822:48, 13 November 2015 diff hist +35 m joint training of a convolutional network and a graphical model for human pose estimation No edit summary
- 22:4522:45, 13 November 2015 diff hist +2 m joint training of a convolutional network and a graphical model for human pose estimation →Higher-Level Spatial-Model
- 22:4322:43, 13 November 2015 diff hist +1,000 joint training of a convolutional network and a graphical model for human pose estimation →Results
- 22:4222:42, 13 November 2015 diff hist 0 N File:Result2.PNG No edit summary current
- 22:3722:37, 13 November 2015 diff hist 0 N File:Result1.PNG No edit summary current
- 22:3322:33, 13 November 2015 diff hist +277 joint training of a convolutional network and a graphical model for human pose estimation →Unified Model
- 22:3322:33, 13 November 2015 diff hist +2,743 joint training of a convolutional network and a graphical model for human pose estimation →Higher-Level Spatial-Model
- 22:2922:29, 13 November 2015 diff hist 0 N File:Architecture2.PNG No edit summary current
- 22:0922:09, 13 November 2015 diff hist +1,655 joint training of a convolutional network and a graphical model for human pose estimation →Convolutional Network Part-Detector
- 22:0022:00, 13 November 2015 diff hist 0 N File:Architecture1.PNG No edit summary current
- 21:5821:58, 13 November 2015 diff hist +1,199 N joint training of a convolutional network and a graphical model for human pose estimation Created page with "== Introduction == Human body pose estimation, or specifically the localization of human joints in monocular RGB images, remains a very challenging task in computer vision. Rece..."
- 21:5321:53, 13 November 2015 diff hist +3 f15Stat946PaperSignUp →Set B
11 November 2015
- 16:4416:44, 11 November 2015 diff hist −34 m imageNet Classification with Deep Convolutional Neural Networks →Overall Architecture
- 16:4316:43, 11 November 2015 diff hist 0 File:Network.JPG uploaded a new version of "File:Network.JPG" current
- 16:3816:38, 11 November 2015 diff hist +5,345 imageNet Classification with Deep Convolutional Neural Networks No edit summary
- 16:2316:23, 11 November 2015 diff hist 0 N File:Network.JPG No edit summary
- 16:0116:01, 11 November 2015 diff hist +416 imageNet Classification with Deep Convolutional Neural Networks →Dataset
- 16:0016:00, 11 November 2015 diff hist +37 imageNet Classification with Deep Convolutional Neural Networks No edit summary
- 15:5915:59, 11 November 2015 diff hist +78 m imageNet Classification with Deep Convolutional Neural Networks →Introduction
- 15:5615:56, 11 November 2015 diff hist +824 imageNet Classification with Deep Convolutional Neural Networks →Introduction
- 15:5215:52, 11 November 2015 diff hist +152 N imageNet Classification with Deep Convolutional Neural Networks Created page with "== Introduction == == Dataset == == Architecture == == Reducing overfitting == == Details of leaning == == Results == == Discussion =="