User contributions for Amirlk

13 November 2015

• 13:0013:00, 13 November 2015 diff hist −105‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Learning Procedure for RBMs
• 12:5112:51, 13 November 2015 diff hist +100‎ question Answering with Subgraph Embeddings ‎ →‎Inference
• 12:4412:44, 13 November 2015 diff hist −15‎ question Answering with Subgraph Embeddings ‎ →‎Inference
• 12:4412:44, 13 November 2015 diff hist +821‎ question Answering with Subgraph Embeddings ‎ →‎Inference
• 12:3112:31, 13 November 2015 diff hist +65‎ neural Machine Translation: Jointly Learning to Align and Translate ‎ →‎Encoding
• 12:3112:31, 13 November 2015 diff hist +229‎ neural Machine Translation: Jointly Learning to Align and Translate ‎ →‎Encoding
• 12:2612:26, 13 November 2015 diff hist 0‎ N File:Pre 10.PNG ‎No edit summary current

9 November 2015

• 20:0220:02, 9 November 2015 diff hist +1‎ stat841 ‎ →‎Radial Basis Function (RBF) Networks - November 6, 2009

8 November 2015

• 15:1515:15, 8 November 2015 diff hist +128‎ f15Stat946PaperSignUp ‎ →‎Set B
• 15:0215:02, 8 November 2015 diff hist 0‎ f15Stat946PaperSignUp ‎ →‎Set B
• 15:0115:01, 8 November 2015 diff hist +3‎ f15Stat946PaperSignUp ‎ →‎Set B
• 15:0015:00, 8 November 2015 diff hist +190‎ f15Stat946PaperSignUp ‎ →‎Set B

6 November 2015

• 00:5600:56, 6 November 2015 diff hist +1,092‎ learning Hierarchical Features for Scene Labeling ‎ →‎Model
• 00:4200:42, 6 November 2015 diff hist +569‎ learning Hierarchical Features for Scene Labeling ‎ →‎Model

5 November 2015

• 23:5823:58, 5 November 2015 diff hist +62‎ learning Hierarchical Features for Scene Labeling ‎ →‎Methodology
• 23:5223:52, 5 November 2015 diff hist +32‎ learning Hierarchical Features for Scene Labeling ‎ →‎Methodology
• 23:4323:43, 5 November 2015 diff hist +709‎ learning Hierarchical Features for Scene Labeling ‎ →‎Methodology
• 23:1823:18, 5 November 2015 diff hist +420‎ human-level control through deep reinforcement learning ‎ →‎The Bellman Equation in the Loss Framework
• 23:1123:11, 5 November 2015 diff hist +204‎ human-level control through deep reinforcement learning ‎ →‎The Bellman Equation in the Loss Framework
• 23:0023:00, 5 November 2015 diff hist +121‎ human-level control through deep reinforcement learning ‎ →‎The Bellman Equation in the Loss Framework
• 22:5122:51, 5 November 2015 diff hist +154‎ human-level control through deep reinforcement learning ‎ →‎The Bellman Equation in the Loss Framework
• 22:3522:35, 5 November 2015 diff hist +342‎ human-level control through deep reinforcement learning ‎ →‎Problem Description

24 October 2015

• 19:4819:48, 24 October 2015 diff hist +571‎ proposal for STAT946 (Deep Learning) final projects Fall 2015 ‎No edit summary
• 18:2518:25, 24 October 2015 diff hist +8‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Localization
• 18:2518:25, 24 October 2015 diff hist +3‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Localization

23 October 2015

• 12:5012:50, 23 October 2015 diff hist +439‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Learning
• 12:4312:43, 23 October 2015 diff hist +514‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Recursive Neural Networks for Structure Prediction
• 12:3812:38, 23 October 2015 diff hist 0‎ N File:Im 5.PNG ‎No edit summary current
• 12:3212:32, 23 October 2015 diff hist +318‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Recursive Neural Networks for Structure Prediction
• 05:3205:32, 23 October 2015 diff hist +749‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 05:2805:28, 23 October 2015 diff hist −1‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Classification
• 05:2605:26, 23 October 2015 diff hist +1,282‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Introduction
• 05:1105:11, 23 October 2015 diff hist +6‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Localization
• 05:0105:01, 23 October 2015 diff hist +2,276‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 04:4604:46, 23 October 2015 diff hist +2,366‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 04:1004:10, 23 October 2015 diff hist +3‎ f15Stat946PaperSignUp ‎ →‎Set A
• 03:5603:56, 23 October 2015 diff hist +3,844‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 03:4603:46, 23 October 2015 diff hist 0‎ N File:Im 3.PNG ‎No edit summary current
• 03:1303:13, 23 October 2015 diff hist 0‎ N File:Im 2.PNG ‎No edit summary current
• 03:0003:00, 23 October 2015 diff hist +2,272‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 01:5401:54, 23 October 2015 diff hist 0‎ N File:Im 1.PNG ‎No edit summary current
• 01:4501:45, 23 October 2015 diff hist 0‎ File:Eq 1.JPG ‎ uploaded a new version of "File:Eq 1.JPG" current
• 01:4501:45, 23 October 2015 diff hist +344‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary
• 01:4301:43, 23 October 2015 diff hist 0‎ N File:Eq 1.JPG ‎No edit summary
• 00:5800:58, 23 October 2015 diff hist +1,858‎ N overfeat: integrated recognition, localization and detection using convolutional networks ‎ Created page with "= Introduction = The main point of this paper is to show that training a convolutional network to simultaneously classify, locate and detect objects in images can boost the clas..."

22 October 2015

• 22:3322:33, 22 October 2015 diff hist +246‎ stat946f15/Sequence to sequence learning with neural networks ‎ →‎Long Short-Term Memory Recurrent Neural Network (LSTM)
• 21:5821:58, 22 October 2015 diff hist +221‎ stat946f15/Sequence to sequence learning with neural networks ‎ →‎Results
• 21:1821:18, 22 October 2015 diff hist +286‎ stat946f15/Sequence to sequence learning with neural networks ‎ →‎Introduction
• 21:1021:10, 22 October 2015 diff hist +21‎ stat946f15/Sequence to sequence learning with neural networks ‎ →‎Introduction

2 October 2015

• 11:2711:27, 2 October 2015 diff hist +252‎ f15Stat946PaperSignUp ‎No edit summary