User contributions for X435liu

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 =="

8 November 2015

• 18:1718:17, 8 November 2015 diff hist +353‎ f15Stat946PaperSignUp ‎ →‎Set B

2 November 2015

• 21:1021:10, 2 November 2015 diff hist +128‎ m learning Hierarchical Features for Scene Labeling ‎ →‎Network Architecture
• 21:0121:01, 2 November 2015 diff hist +248‎ learning Hierarchical Features for Scene Labeling ‎ →‎Network Architecture
• 20:5020:50, 2 November 2015 diff hist +356‎ learning Hierarchical Features for Scene Labeling ‎ →‎Network Architecture
• 20:2820:28, 2 November 2015 diff hist 0‎ learning Hierarchical Features for Scene Labeling ‎ →‎Methodology
• 20:2420:24, 2 November 2015 diff hist +330‎ learning Hierarchical Features for Scene Labeling ‎ →‎Introduction
• 17:1317:13, 2 November 2015 diff hist +340‎ human-level control through deep reinforcement learning ‎ →‎The Full Algorithm
• 16:3816:38, 2 November 2015 diff hist +811‎ human-level control through deep reinforcement learning ‎ →‎Overcoming Instability

29 October 2015

• 00:1600:16, 29 October 2015 diff hist +28‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Multi-Scale Classification
• 00:1100:11, 29 October 2015 diff hist +1,192‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Classification

28 October 2015

• 23:3723:37, 28 October 2015 diff hist +133‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Introduction

22 October 2015

• 00:0200:02, 22 October 2015 diff hist +506‎ parsing natural scenes and natural language with recursive neural networks ‎No edit summary

21 October 2015

• 23:3623:36, 21 October 2015 diff hist +145‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Scene understanding
• 22:2622:26, 21 October 2015 diff hist +381‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Learning
• 22:0622:06, 21 October 2015 diff hist +362‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Introduction