User contributions for X435liu
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6 December 2015
- 20:0620:06, 6 December 2015 diff hist +345 generating text with recurrent neural networks →Qualitative Experiments
- 17:2417:24, 6 December 2015 diff hist +322 learning Convolutional Feature Hierarchies for Visual Recognition →Method
- 17:1717:17, 6 December 2015 diff hist +238 learning Convolutional Feature Hierarchies for Visual Recognition →Method
- 16:5816:58, 6 December 2015 diff hist +394 learning Convolutional Feature Hierarchies for Visual Recognition →Overview
5 December 2015
- 19:4919:49, 5 December 2015 diff hist +8 m deep Convolutional Neural Networks For LVCSR →Results with Proposed Architecture
- 19:4619:46, 5 December 2015 diff hist +216 deep Convolutional Neural Networks For LVCSR →Optimal Feature Set
- 19:3319:33, 5 December 2015 diff hist +301 deep Convolutional Neural Networks For LVCSR →Number of Hidden Units
- 18:4818:48, 5 December 2015 diff hist −8 m very Deep Convoloutional Networks for Large-Scale Image Recognition No edit summary
- 18:4718:47, 5 December 2015 diff hist +244 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 18:4618:46, 5 December 2015 diff hist 0 N File:ConvNet3.PNG No edit summary current
- 18:4218:42, 5 December 2015 diff hist +15 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 18:4118:41, 5 December 2015 diff hist +190 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 18:3918:39, 5 December 2015 diff hist 0 N File:ConvNet2.PNG No edit summary current
- 18:3818:38, 5 December 2015 diff hist +32 very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Experiments
- 18:3718:37, 5 December 2015 diff hist 0 N File:ConvNet1.PNG No edit summary current
- 18:3518:35, 5 December 2015 diff hist +357 very Deep Convoloutional Networks for Large-Scale Image Recognition →Conv.Net Configurations
- 18:2518:25, 5 December 2015 diff hist 0 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Conclusion
- 17:0717:07, 5 December 2015 diff hist +297 deep Sparse Rectifier Neural Networks →Results
- 17:0117:01, 5 December 2015 diff hist +570 deep Sparse Rectifier Neural Networks No edit summary
- 16:4816:48, 5 December 2015 diff hist −2 m deep Sparse Rectifier Neural Networks No edit summary
- 16:4816:48, 5 December 2015 diff hist +35 m deep Sparse Rectifier Neural Networks No edit summary
- 16:4716:47, 5 December 2015 diff hist +304 deep Sparse Rectifier Neural Networks →Biological Plausibility and Sparsity
- 16:3416:34, 5 December 2015 diff hist +342 deep Sparse Rectifier Neural Networks →Introduction
17 November 2015
- 22:0422:04, 17 November 2015 diff hist +275 dropout →Result
- 21:5521:55, 17 November 2015 diff hist +354 dropout →Result
- 21:5521:55, 17 November 2015 diff hist 0 N File:Dropout.PNG No edit summary current
- 21:4821:48, 17 November 2015 diff hist −1 m dropout →Effects of Dropout
- 21:4721:47, 17 November 2015 diff hist +276 dropout →Effects of Dropout
- 17:4317:43, 17 November 2015 diff hist +451 dropout →Model
13 November 2015
- 21:4821:48, 13 November 2015 diff hist +35 m joint training of a convolutional network and a graphical model for human pose estimation No edit summary
- 21:4521:45, 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
- 21:4321:43, 13 November 2015 diff hist +1,000 joint training of a convolutional network and a graphical model for human pose estimation →Results
- 21:4221:42, 13 November 2015 diff hist 0 N File:Result2.PNG No edit summary current
- 21:3721:37, 13 November 2015 diff hist 0 N File:Result1.PNG No edit summary current
- 21:3321:33, 13 November 2015 diff hist +277 joint training of a convolutional network and a graphical model for human pose estimation →Unified Model
- 21:3321:33, 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
- 21:2921:29, 13 November 2015 diff hist 0 N File:Architecture2.PNG No edit summary current
- 21:0921:09, 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
- 21:0021:00, 13 November 2015 diff hist 0 N File:Architecture1.PNG No edit summary current
- 20:5820:58, 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..."
- 20:5320:53, 13 November 2015 diff hist +3 f15Stat946PaperSignUp →Set B
11 November 2015
- 15:4415:44, 11 November 2015 diff hist −34 m imageNet Classification with Deep Convolutional Neural Networks →Overall Architecture
- 15:4315:43, 11 November 2015 diff hist 0 File:Network.JPG uploaded a new version of "File:Network.JPG" current
- 15:3815:38, 11 November 2015 diff hist +5,345 imageNet Classification with Deep Convolutional Neural Networks No edit summary
- 15:2315:23, 11 November 2015 diff hist 0 N File:Network.JPG No edit summary
- 15:0115:01, 11 November 2015 diff hist +416 imageNet Classification with Deep Convolutional Neural Networks →Dataset
- 15:0015:00, 11 November 2015 diff hist +37 imageNet Classification with Deep Convolutional Neural Networks No edit summary
- 14:5914:59, 11 November 2015 diff hist +78 m imageNet Classification with Deep Convolutional Neural Networks →Introduction
- 14:5614:56, 11 November 2015 diff hist +824 imageNet Classification with Deep Convolutional Neural Networks →Introduction
- 14:5214:52, 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 =="
