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State: All (289) · In progress (26) · Validation pending (60) · Validation inconclusive (0) · Valid (202) · Invalid (1) · Error (0)
Application: All (289) · Convolutional Neural Network with Seam Carving (0) · DNA@Home Gibbs Sampler (0) · EXACT Batch Norm With Pooling CNN Trainer (0) · EXACT Batch Norm With Scaled FMP CNN Trainer (289) · EXACT MNIST Batch Norm CNN Trainer (0)
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8228267 3734565 23 May 2018, 9:28:49 UTC 11 Jun 2018, 17:59:00 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228269 3734566 23 May 2018, 9:28:49 UTC 23 May 2018, 18:05:49 UTC Completed, waiting for validation 27,453.38 27,450.21 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228273 3734568 23 May 2018, 9:28:49 UTC 23 May 2018, 17:11:55 UTC Completed, waiting for validation 22,563.90 22,558.28 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228276 3734569 23 May 2018, 9:28:49 UTC 23 May 2018, 17:11:55 UTC Completed, waiting for validation 24,201.49 24,194.44 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228277 3734570 23 May 2018, 9:28:49 UTC 23 May 2018, 17:11:55 UTC Completed, waiting for validation 24,947.41 24,939.32 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228280 3734571 23 May 2018, 9:28:49 UTC 23 May 2018, 17:11:55 UTC Completed, waiting for validation 23,813.30 23,806.61 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228281 3734572 23 May 2018, 9:28:49 UTC 23 Jun 2018, 13:42:21 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228284 3734573 23 May 2018, 9:28:49 UTC 5 Jul 2018, 5:05:46 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228288 3734575 23 May 2018, 9:28:49 UTC 21 Jun 2018, 3:57:04 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228290 3734576 23 May 2018, 9:28:49 UTC 29 Jun 2018, 18:58:01 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8228292 3734577 23 May 2018, 9:28:49 UTC 20 Jun 2018, 6:17:50 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8226300 3733587 23 May 2018, 8:54:45 UTC 10 Jun 2018, 23:29:14 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8226303 3733588 23 May 2018, 8:54:45 UTC 23 May 2018, 17:11:55 UTC Completed, waiting for validation 28,000.64 27,993.38 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219909 3730823 21 May 2018, 23:18:31 UTC 22 May 2018, 8:09:12 UTC Completed and validated 30,191.24 30,191.24 3,806.17 EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219913 3730825 21 May 2018, 23:18:31 UTC 22 May 2018, 10:20:36 UTC Completed, waiting for validation 32,096.26 32,096.26 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219927 3730832 21 May 2018, 23:18:31 UTC 22 May 2018, 12:56:12 UTC Completed, waiting for validation 43,098.83 43,098.83 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219929 3730833 21 May 2018, 23:18:31 UTC 22 May 2018, 11:30:22 UTC Completed and validated 40,288.39 40,288.39 5,239.51 EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219932 3730834 21 May 2018, 23:18:31 UTC 22 May 2018, 13:57:53 UTC Completed and validated 49,612.71 49,612.71 6,390.37 EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219941 3730839 21 May 2018, 23:18:31 UTC 22 May 2018, 22:42:59 UTC Completed, waiting for validation 78,401.68 78,401.68 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
8219944 3730840 21 May 2018, 23:18:31 UTC 23 May 2018, 0:03:45 UTC Completed, waiting for validation 83,267.21 83,267.21 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Previous 20 · Next 20
State: All (289) · In progress (26) · Validation pending (60) · Validation inconclusive (0) · Valid (202) · Invalid (1) · Error (0)
Application: All (289) · Convolutional Neural Network with Seam Carving (0) · DNA@Home Gibbs Sampler (0) · EXACT Batch Norm With Pooling CNN Trainer (0) · EXACT Batch Norm With Scaled FMP CNN Trainer (289) · EXACT MNIST Batch Norm CNN Trainer (0)
Task name: