Execution Time0.41s

Test: TMVA-DNN-RNN-FullRNN (Passed)
Build: v6-18-00-patches-x86_64-mac1015-clang110-opt (macphsft18.dyndns.cern.ch) on 2020-01-26 00:49:26

Test Timing: Passed
Processors1

Show Command Line
Display graphs:

Test output
Training RNN to identity firstCopying output into input
Copying output into input
loss: 1.56665
loss: 0.281584
loss: 0.0501929
loss: 0.014193
loss: 0.0075025
loss: 0.00602388
loss: 0.00557786
loss: 0.00535395
loss: 0.00518461
loss: 0.00503297
loss: 0.00488999
loss: 0.00475293
loss: 0.00462071
loss: 0.00449276
loss: 0.00436872
loss: 0.00424834
loss: 0.00413145
loss: 0.0040179
loss: 0.00390757
loss: 0.00380036
loss: 0.00369615
loss: 0.00359487
loss: 0.00349643
loss: 0.00340074
loss: 0.00330773
loss: 0.00321732
loss: 0.00312943
loss: 0.00304399
loss: 0.00296094
loss: 0.00288021
loss: 0.00280173
loss: 0.00272543
loss: 0.00265126
loss: 0.00257916
loss: 0.00250906
loss: 0.00244091
loss: 0.00237467
loss: 0.00231026
loss: 0.00224764
loss: 0.00218677
loss: 0.00212759
loss: 0.00207005
loss: 0.00201411
loss: 0.00195972
loss: 0.00190684
loss: 0.00185543
loss: 0.00180545
loss: 0.00175685
loss: 0.0017096
loss: 0.00166365
iter = 1 loss: 0.771481
iter = 2 loss: 0.75325
iter = 3 loss: 0.740723
iter = 4 loss: 0.729971
iter = 5 loss: 0.71997
iter = 6 loss: 0.710355
iter = 7 loss: 0.700974
iter = 8 loss: 0.69184
iter = 9 loss: 0.683116
iter = 10 loss: 0.675005
iter = 11 loss: 0.667597
iter = 12 loss: 0.660821
iter = 13 loss: 0.654512
iter = 14 loss: 0.648496
iter = 15 loss: 0.642617
iter = 16 loss: 0.636738
iter = 17 loss: 0.630743
iter = 18 loss: 0.62453
iter = 19 loss: 0.618011
iter = 20 loss: 0.611109
iter = 21 loss: 0.603758
iter = 22 loss: 0.595904
iter = 23 loss: 0.587506
iter = 24 loss: 0.578541
iter = 25 loss: 0.569002
iter = 26 loss: 0.558907
iter = 27 loss: 0.548285
iter = 28 loss: 0.537179
iter = 29 loss: 0.525631
iter = 30 loss: 0.513687
iter = 31 loss: 0.501388
iter = 32 loss: 0.488779
iter = 33 loss: 0.475907
iter = 34 loss: 0.462824
iter = 35 loss: 0.449587
iter = 36 loss: 0.436258
iter = 37 loss: 0.422898
iter = 38 loss: 0.409569
iter = 39 loss: 0.396329
iter = 40 loss: 0.383231
iter = 41 loss: 0.370323
iter = 42 loss: 0.357648
iter = 43 loss: 0.345239
iter = 44 loss: 0.333128
iter = 45 loss: 0.321337
iter = 46 loss: 0.309888
iter = 47 loss: 0.298792
iter = 48 loss: 0.288067
iter = 49 loss: 0.277756
iter = 50 loss: 0.268292

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.8728      0.8066      0.2277      0.8789      0.3443 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.8729       0.217      0.8771      0.8755      0.7829 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.6746      0.8902      0.2267       0.876      0.8887 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.8701      0.5894       0.875      0.2012      0.5151 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |      0.592      0.1988      0.1427      0.2814       0.866 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.8437      0.8914       0.217       0.384      0.8131 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |     0.5839      0.2668        0.21      0.2611      0.2128 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8886      0.1904      0.3856      0.9008      0.2051 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |     0.3867      0.8498      0.8713      0.8997      0.8019 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |      0.659      0.2687      0.1594      0.8691      0.2224 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |     0.3403      0.3993      0.7763      0.8331      0.2094 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.5588      0.6946       0.205      0.8762      0.2266 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |      0.294      0.8708      0.8726       0.859 

ROC integral is 0.453247
Test full RNN passed : Efficiencies are 0.0689655 and 1