User contributions for Dh48kim
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6 December 2020
- 05:2105:21, 6 December 2020 diff hist +186 Efficient kNN Classification with Different Numbers of Nearest Neighbors →Critiques
- 05:1005:10, 6 December 2020 diff hist +273 Loss Function Search for Face Recognition →Critiques
- 05:0105:01, 6 December 2020 diff hist +167 User:Yktan →Critiques/ Insights
- 04:5104:51, 6 December 2020 diff hist +131 Superhuman AI for Multiplayer Poker →Discussion and Critiques
- 04:2804:28, 6 December 2020 diff hist −1 Music Recommender System Based using CRNN →Critiques/ Insights:
- 04:2704:27, 6 December 2020 diff hist +192 Music Recommender System Based using CRNN →Critiques/ Insights:
- 03:4603:46, 6 December 2020 diff hist +158 Mask RCNN →Critiques
- 03:4003:40, 6 December 2020 diff hist +198 Research Papers Classification System →Critique
- 03:3403:34, 6 December 2020 diff hist +238 Speech2Face: Learning the Face Behind a Voice →Discussion and Critiques
- 03:1803:18, 6 December 2020 diff hist +196 Evaluating Machine Accuracy on ImageNet →Critiques
- 03:0903:09, 6 December 2020 diff hist +247 Surround Vehicle Motion Prediction →Critiques
5 December 2020
- 18:3018:30, 5 December 2020 diff hist −5 Research Papers Classification System →Term Frequency Inverse Document Frequency (TF-IDF) Calculation
- 18:2918:29, 5 December 2020 diff hist −2 Research Papers Classification System →Paper Classification Using K-means Clustering
- 18:2018:20, 5 December 2020 diff hist −19 Loss Function Search for Face Recognition →Conclusion
- 18:0918:09, 5 December 2020 diff hist +1 Mask RCNN →Model Architecture
- 18:0118:01, 5 December 2020 diff hist +7 Evaluating Machine Accuracy on ImageNet →Top-5 accuracy
- 17:5317:53, 5 December 2020 diff hist −1 Surround Vehicle Motion Prediction →Conclusion
- 17:5117:51, 5 December 2020 diff hist 0 Surround Vehicle Motion Prediction →Sensor Outputs
30 November 2020
- 02:0602:06, 30 November 2020 diff hist −12 Improving neural networks by preventing co-adaption of feature detectors →Classification Test and Performance
- 02:0402:04, 30 November 2020 diff hist +6 Improving neural networks by preventing co-adaption of feature detectors →Classification Test and Performance
- 02:0202:02, 30 November 2020 diff hist 0 Improving neural networks by preventing co-adaption of feature detectors →Pre-training and Training
- 02:0102:01, 30 November 2020 diff hist −422 Improving neural networks by preventing co-adaption of feature detectors →TIMIT
- 01:5801:58, 30 November 2020 diff hist +2 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 01:5701:57, 30 November 2020 diff hist −8 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 01:5401:54, 30 November 2020 diff hist −4 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10 Dataset
- 01:5301:53, 30 November 2020 diff hist +16 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 01:5001:50, 30 November 2020 diff hist −11 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10 Dataset
- 01:4601:46, 30 November 2020 diff hist +1 Improving neural networks by preventing co-adaption of feature detectors →Pre-training
- 01:3801:38, 30 November 2020 diff hist 0 Improving neural networks by preventing co-adaption of feature detectors →TIMIT
- 01:3701:37, 30 November 2020 diff hist −152 Improving neural networks by preventing co-adaption of feature detectors →Classification Test and Performance
- 01:3601:36, 30 November 2020 diff hist −240 Improving neural networks by preventing co-adaption of feature detectors →Classification Test and Performance
- 01:3501:35, 30 November 2020 diff hist +45 Improving neural networks by preventing co-adaption of feature detectors →TIMIT
- 01:2901:29, 30 November 2020 diff hist −1 Improving neural networks by preventing co-adaption of feature detectors →TIMIT
28 November 2020
- 23:1423:14, 28 November 2020 diff hist +4 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 21:0321:03, 28 November 2020 diff hist 0 Improving neural networks by preventing co-adaption of feature detectors →Dropout tuning
- 21:0221:02, 28 November 2020 diff hist −79 Improving neural networks by preventing co-adaption of feature detectors →TIMIT
- 19:3919:39, 28 November 2020 diff hist 0 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10 Dataset
- 19:3619:36, 28 November 2020 diff hist −29 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 19:3519:35, 28 November 2020 diff hist +10 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 19:3019:30, 28 November 2020 diff hist +1 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 19:3019:30, 28 November 2020 diff hist +48 Improving neural networks by preventing co-adaption of feature detectors →Models for CIFAR-10
- 01:2301:23, 28 November 2020 diff hist 0 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10
- 01:2201:22, 28 November 2020 diff hist +18 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10 Dataset
- 01:2101:21, 28 November 2020 diff hist +7 Improving neural networks by preventing co-adaption of feature detectors →CNN
- 01:1901:19, 28 November 2020 diff hist +5 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10
- 00:5800:58, 28 November 2020 diff hist +22 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10
- 00:5700:57, 28 November 2020 diff hist +67 Improving neural networks by preventing co-adaption of feature detectors →CIFAR-10
- 00:5500:55, 28 November 2020 diff hist 0 N File:CIFAR-10.png No edit summary current
- 00:4100:41, 28 November 2020 diff hist +13 Improving neural networks by preventing co-adaption of feature detectors →Pre-training
- 00:4000:40, 28 November 2020 diff hist +39 Improving neural networks by preventing co-adaption of feature detectors →Pre-training
