Next 20
State: All (373) · In progress (7) · Validation pending (79) · Validation inconclusive (0) · Valid (286) · Invalid (1) · Error (0)
Application: All (373) · 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 (373) · EXACT MNIST Batch Norm CNN Trainer (0)
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5788776 2681569 16 Dec 2017, 15:06:56 UTC 5 Feb 2018, 12:43:41 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788873 2681606 16 Dec 2017, 15:06:56 UTC 27 Jan 2018, 9:52:59 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788885 2681612 16 Dec 2017, 15:06:56 UTC 28 Jan 2018, 18:20:43 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788886 2681613 16 Dec 2017, 15:06:56 UTC 5 Feb 2018, 12:52:06 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788889 2681614 16 Dec 2017, 15:06:56 UTC 29 Jan 2018, 10:34:18 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788890 2681615 16 Dec 2017, 15:06:56 UTC 5 Feb 2018, 19:21:46 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5788896 2681618 16 Dec 2017, 15:06:56 UTC 11 Feb 2018, 0:24:21 UTC In progress --- --- --- EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5782574 2678941 16 Dec 2017, 1:45:38 UTC 16 Dec 2017, 16:26:58 UTC Completed, waiting for validation 49,219.40 48,553.22 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5782576 2678942 16 Dec 2017, 1:45:38 UTC 16 Dec 2017, 15:06:56 UTC Completed, waiting for validation 44,421.09 43,811.43 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5782594 2678951 16 Dec 2017, 1:45:38 UTC 16 Dec 2017, 17:29:49 UTC Completed, waiting for validation 52,606.92 51,893.40 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5782598 2678953 16 Dec 2017, 1:45:38 UTC 16 Dec 2017, 16:26:58 UTC Completed, waiting for validation 49,174.20 48,512.20 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5777413 2676685 15 Dec 2017, 14:58:05 UTC 16 Dec 2017, 6:27:39 UTC Completed, waiting for validation 53,290.47 52,557.82 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5777415 2676686 15 Dec 2017, 14:58:05 UTC 16 Dec 2017, 3:48:11 UTC Completed, waiting for validation 42,545.81 41,980.21 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5777420 2676689 15 Dec 2017, 14:58:05 UTC 16 Dec 2017, 6:27:39 UTC Completed, waiting for validation 52,126.08 51,428.89 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5777427 2669417 15 Dec 2017, 14:58:05 UTC 16 Dec 2017, 1:45:38 UTC Completed and validated 34,344.62 33,866.79 7,961.96 EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5777429 2674643 15 Dec 2017, 14:58:05 UTC 16 Dec 2017, 3:48:11 UTC Completed, waiting for validation 44,341.01 43,741.42 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5770888 2674050 15 Dec 2017, 2:34:35 UTC 15 Dec 2017, 14:58:05 UTC Completed, waiting for validation 41,120.82 40,556.81 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5770898 2674055 15 Dec 2017, 2:34:35 UTC 15 Dec 2017, 17:01:20 UTC Completed, waiting for validation 47,514.62 46,874.20 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5770901 2674057 15 Dec 2017, 2:34:35 UTC 15 Dec 2017, 19:56:29 UTC Completed, waiting for validation 57,284.97 56,502.29 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33
5770907 2674060 15 Dec 2017, 2:34:35 UTC 15 Dec 2017, 17:01:20 UTC Completed, waiting for validation 47,818.00 47,143.66 pending EXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Next 20
State: All (373) · In progress (7) · Validation pending (79) · Validation inconclusive (0) · Valid (286) · Invalid (1) · Error (0)
Application: All (373) · 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 (373) · EXACT MNIST Batch Norm CNN Trainer (0)
Task name: