python code/DBN_small.py
Downloading data from http://www.iro.umontreal.ca/~lisa/deep/data/mnist/mnist.pkl.gz
... loading data
... building the model
... getting the pretraining functions
... pre-training the model
Pre-training layer 0, epoch 0, cost -98.605633351
Pre-training layer 0, epoch 1, cost -83.821740962
...
Pre-training layer 0, epoch 98, cost -68.5052478816
Pre-training layer 0, epoch 99, cost -68.519563826
Pre-training layer 1, epoch 0, cost -171.643871631
Pre-training layer 1, epoch 1, cost -149.515493823
Pre-training layer 1, epoch 2, cost -144.451413679
Pre-training layer 1, epoch 3, cost -141.756252063
Pre-training layer 1, epoch 4, cost -139.878107992
Pre-training layer 1, epoch 5, cost -138.535599652
Pre-training layer 1, epoch 6, cost -137.402074458
Pre-training layer 1, epoch 7, cost -136.497999148
Pre-training layer 1, epoch 8, cost -135.716982528
Pre-training layer 1, epoch 9, cost -135.051954135
Pre-training layer 1, epoch 10, cost -134.447771265
Pre-training layer 1, epoch 11, cost -133.973466419
Pre-training layer 1, epoch 12, cost -133.551518055
Pre-training layer 1, epoch 13, cost -133.139880511
Pre-training layer 1, epoch 14, cost -132.788173252
Pre-training layer 1, epoch 15, cost -132.489801008
Pre-training layer 1, epoch 16, cost -132.237055108
Pre-training layer 1, epoch 17, cost -131.975347485
Pre-training layer 1, epoch 18, cost -131.771333127
Pre-training layer 1, epoch 19, cost -131.540889258
Pre-training layer 1, epoch 20, cost -131.384947825
Pre-training layer 1, epoch 21, cost -131.225772659
Pre-training layer 1, epoch 22, cost -131.070327762
Pre-training layer 1, epoch 23, cost -130.941930783
Pre-training layer 1, epoch 24, cost -130.778483759
Pre-training layer 1, epoch 25, cost -130.668305024
Pre-training layer 1, epoch 26, cost -130.555502214
Pre-training layer 1, epoch 27, cost -130.478535277
Pre-training layer 1, epoch 28, cost -130.364395118
Pre-training layer 1, epoch 29, cost -130.287104187
Pre-training layer 1, epoch 30, cost -130.210807909
Pre-training layer 1, epoch 31, cost -130.107654161
Pre-training layer 1, epoch 32, cost -130.028662833
Pre-training layer 1, epoch 33, cost -129.992199401
Pre-training layer 1, epoch 34, cost -129.88685884
Pre-training layer 1, epoch 35, cost -129.847813521
Pre-training layer 1, epoch 36, cost -129.786785169
Pre-training layer 1, epoch 37, cost -129.730273604
Pre-training layer 1, epoch 38, cost -129.697135786
Pre-training layer 1, epoch 39, cost -129.636278175
Pre-training layer 1, epoch 40, cost -129.618305605
Pre-training layer 1, epoch 41, cost -129.551387057
Pre-training layer 1, epoch 42, cost -129.49368135
Pre-training layer 1, epoch 43, cost -129.476903705
Pre-training layer 1, epoch 44, cost -129.425981055
Pre-training layer 1, epoch 45, cost -129.389322047
Pre-training layer 1, epoch 46, cost -129.362279036
Pre-training layer 1, epoch 47, cost -129.337946502
Pre-training layer 1, epoch 48, cost -129.304442912
Pre-training layer 1, epoch 49, cost -129.260127775
Pre-training layer 1, epoch 50, cost -129.221536862
Pre-training layer 1, epoch 51, cost -129.210379139
Pre-training layer 1, epoch 52, cost -129.169092219
Pre-training layer 1, epoch 53, cost -129.131854654
Pre-training layer 1, epoch 54, cost -129.133793916
Pre-training layer 1, epoch 55, cost -129.099146517
Pre-training layer 1, epoch 56, cost -129.087258479
Pre-training layer 1, epoch 57, cost -129.060194224
Pre-training layer 1, epoch 58, cost -129.027875632
Pre-training layer 1, epoch 59, cost -128.995649811
Pre-training layer 1, epoch 60, cost -128.977655279
Pre-training layer 1, epoch 61, cost -128.945129528
Pre-training layer 1, epoch 62, cost -128.940161975
Pre-training layer 1, epoch 63, cost -128.939732915
Pre-training layer 1, epoch 64, cost -128.941077969
Pre-training layer 1, epoch 65, cost -128.902307804
Pre-training layer 1, epoch 66, cost -128.868177422
Pre-training layer 1, epoch 67, cost -128.874653731
Pre-training layer 1, epoch 68, cost -128.867196338
Pre-training layer 1, epoch 69, cost -128.864623846
Pre-training layer 1, epoch 70, cost -128.843517828
Pre-training layer 1, epoch 71, cost -128.827557045
Pre-training layer 1, epoch 72, cost -128.79131154
Pre-training layer 1, epoch 73, cost -128.773199697
Pre-training layer 1, epoch 74, cost -128.769646485
Pre-training layer 1, epoch 75, cost -128.776708309
Pre-training layer 1, epoch 76, cost -128.759387417
Pre-training layer 1, epoch 77, cost -128.714281256
Pre-training layer 1, epoch 78, cost -128.71048483
Pre-training layer 1, epoch 79, cost -128.731262644
Pre-training layer 1, epoch 80, cost -128.701462441
Pre-training layer 1, epoch 81, cost -128.666946237
Pre-training layer 1, epoch 82, cost -128.682094488
Pre-training layer 1, epoch 83, cost -128.677214794
Pre-training layer 1, epoch 84, cost -128.66396384
Pre-training layer 1, epoch 85, cost -128.65356571
Pre-training layer 1, epoch 86, cost -128.6662782
Pre-training layer 1, epoch 87, cost -128.618077204
Pre-training layer 1, epoch 88, cost -128.607518439
Pre-training layer 1, epoch 89, cost -128.640183712
Pre-training layer 1, epoch 90, cost -128.619865401
Pre-training layer 1, epoch 91, cost -128.62696618
Pre-training layer 1, epoch 92, cost -128.599751823
Pre-training layer 1, epoch 93, cost -128.591895957
Pre-training layer 1, epoch 94, cost -128.554581802
Pre-training layer 1, epoch 95, cost -128.555603175
Pre-training layer 1, epoch 96, cost -128.565845135
Pre-training layer 1, epoch 97, cost -128.544153488
Pre-training layer 1, epoch 98, cost -128.548815867
Pre-training layer 1, epoch 99, cost -128.560006264
Pre-training layer 2, epoch 0, cost -70.0880996936
Pre-training layer 2, epoch 1, cost -57.9429660768
Pre-training layer 2, epoch 2, cost -55.4440582901
Pre-training layer 2, epoch 3, cost -54.1089682447
Pre-training layer 2, epoch 4, cost -53.2713100853
Pre-training layer 2, epoch 5, cost -52.6138329286
Pre-training layer 2, epoch 6, cost -52.1256050418
Pre-training layer 2, epoch 7, cost -51.719914925
Pre-training layer 2, epoch 8, cost -51.3744889513
Pre-training layer 2, epoch 9, cost -51.0875345829
Pre-training layer 2, epoch 10, cost -50.7886417596
Pre-training layer 2, epoch 11, cost -50.5449013346
Pre-training layer 2, epoch 12, cost -50.3558212492
Pre-training layer 2, epoch 13, cost -50.1790201092
Pre-training layer 2, epoch 14, cost -49.9945276798
Pre-training layer 2, epoch 15, cost -49.8243693353
Pre-training layer 2, epoch 16, cost -49.6824833823
Pre-training layer 2, epoch 17, cost -49.5411691089
Pre-training layer 2, epoch 18, cost -49.4336682825
Pre-training layer 2, epoch 19, cost -49.3077187712
Pre-training layer 2, epoch 20, cost -49.184447665
Pre-training layer 2, epoch 21, cost -49.1042597712
Pre-training layer 2, epoch 22, cost -48.9922685439
Pre-training layer 2, epoch 23, cost -48.9134351854
Pre-training layer 2, epoch 24, cost -48.8040250662
Pre-training layer 2, epoch 25, cost -48.7458521848
Pre-training layer 2, epoch 26, cost -48.6870817501
Pre-training layer 2, epoch 27, cost -48.5984471639
Pre-training layer 2, epoch 28, cost -48.5314310613
Pre-training layer 2, epoch 29, cost -48.4915239528
Pre-training layer 2, epoch 30, cost -48.4237038956
Pre-training layer 2, epoch 31, cost -48.3788210521
Pre-training layer 2, epoch 32, cost -48.3353179124
Pre-training layer 2, epoch 33, cost -48.2622428232
Pre-training layer 2, epoch 34, cost -48.2177285838
Pre-training layer 2, epoch 35, cost -48.1769980633
Pre-training layer 2, epoch 36, cost -48.1261212064
Pre-training layer 2, epoch 37, cost -48.0982768957
Pre-training layer 2, epoch 38, cost -48.0616504145
Pre-training layer 2, epoch 39, cost -48.0000899992
Pre-training layer 2, epoch 40, cost -47.9540308821
Pre-training layer 2, epoch 41, cost -47.9264332891
Pre-training layer 2, epoch 42, cost -47.896046838
Pre-training layer 2, epoch 43, cost -47.8527590216
Pre-training layer 2, epoch 44, cost -47.8439895524
Pre-training layer 2, epoch 45, cost -47.7944288355
Pre-training layer 2, epoch 46, cost -47.7490626803
Pre-training layer 2, epoch 47, cost -47.7302210646
Pre-training layer 2, epoch 48, cost -47.7173249508
Pre-training layer 2, epoch 49, cost -47.6623472115
Pre-training layer 2, epoch 50, cost -47.6406938763
Pre-training layer 2, epoch 51, cost -47.6004131255
Pre-training layer 2, epoch 52, cost -47.5870140934
Pre-training layer 2, epoch 53, cost -47.5679143658
Pre-training layer 2, epoch 54, cost -47.5403547917
Pre-training layer 2, epoch 55, cost -47.5121944423
Pre-training layer 2, epoch 56, cost -47.5091982126
Pre-training layer 2, epoch 57, cost -47.4731519626
Pre-training layer 2, epoch 58, cost -47.4387040136
Pre-training layer 2, epoch 59, cost -47.4307169026
Pre-training layer 2, epoch 60, cost -47.4255378595
Pre-training layer 2, epoch 61, cost -47.3967116458
Pre-training layer 2, epoch 62, cost -47.3831292468
Pre-training layer 2, epoch 63, cost -47.3586719299
Pre-training layer 2, epoch 64, cost -47.3250683865
Pre-training layer 2, epoch 65, cost -47.3121818155
Pre-training layer 2, epoch 66, cost -47.3253935473
Pre-training layer 2, epoch 67, cost -47.287971487
Pre-training layer 2, epoch 68, cost -47.2598606592
Pre-training layer 2, epoch 69, cost -47.2452731909
Pre-training layer 2, epoch 70, cost -47.2544936942
Pre-training layer 2, epoch 71, cost -47.2097531117
Pre-training layer 2, epoch 72, cost -47.2062705306
Pre-training layer 2, epoch 73, cost -47.2004000095
Pre-training layer 2, epoch 74, cost -47.2022627461
Pre-training layer 2, epoch 75, cost -47.1479103501
Pre-training layer 2, epoch 76, cost -47.1796911954
Pre-training layer 2, epoch 77, cost -47.1508054459
Pre-training layer 2, epoch 78, cost -47.1542654028
Pre-training layer 2, epoch 79, cost -47.1457913565
Pre-training layer 2, epoch 80, cost -47.1093583361
Pre-training layer 2, epoch 81, cost -47.1113689527
Pre-training layer 2, epoch 82, cost -47.0899995027
Pre-training layer 2, epoch 83, cost -47.0954480194
Pre-training layer 2, epoch 84, cost -47.072423908
Pre-training layer 2, epoch 85, cost -47.0470443175
Pre-training layer 2, epoch 86, cost -47.0431776517
Pre-training layer 2, epoch 87, cost -46.9994554695
Pre-training layer 2, epoch 88, cost -47.0142823816
Pre-training layer 2, epoch 89, cost -46.9953037602
Pre-training layer 2, epoch 90, cost -46.9977725268
Pre-training layer 2, epoch 91, cost -47.0004457747
Pre-training layer 2, epoch 92, cost -46.9652256313
Pre-training layer 2, epoch 93, cost -46.9635554107
Pre-training layer 2, epoch 94, cost -46.9435821098
Pre-training layer 2, epoch 95, cost -46.9602020613
Pre-training layer 2, epoch 96, cost -46.9421359975
Pre-training layer 2, epoch 97, cost -46.9499591082
Pre-training layer 2, epoch 98, cost -46.9460360187
Pre-training layer 2, epoch 99, cost -46.9196266617
The pretraining code for file DBN.py ran for 789.28m
... getting the finetuning functions
... finetunning the model
epoch 1, minibatch 5000/5000, validation error 3.090000 %
epoch 1, minibatch 5000/5000, test error of best model 3.450000 %
epoch 2, minibatch 5000/5000, validation error 2.530000 %
epoch 2, minibatch 5000/5000, test error of best model 2.730000 %
epoch 3, minibatch 5000/5000, validation error 2.250000 %
epoch 3, minibatch 5000/5000, test error of best model 2.440000 %
epoch 4, minibatch 5000/5000, validation error 2.050000 %
epoch 4, minibatch 5000/5000, test error of best model 2.210000 %
epoch 5, minibatch 5000/5000, validation error 1.940000 %
epoch 5, minibatch 5000/5000, test error of best model 1.930000 %
epoch 6, minibatch 5000/5000, validation error 1.820000 %
epoch 6, minibatch 5000/5000, test error of best model 1.850000 %
epoch 7, minibatch 5000/5000, validation error 1.690000 %
epoch 7, minibatch 5000/5000, test error of best model 1.860000 %
epoch 8, minibatch 5000/5000, validation error 1.600000 %
epoch 8, minibatch 5000/5000, test error of best model 1.770000 %
epoch 9, minibatch 5000/5000, validation error 1.590000 %
epoch 9, minibatch 5000/5000, test error of best model 1.730000 %
epoch 10, minibatch 5000/5000, validation error 1.550000 %
epoch 10, minibatch 5000/5000, test error of best model 1.670000 %
epoch 11, minibatch 5000/5000, validation error 1.460000 %
epoch 11, minibatch 5000/5000, test error of best model 1.600000 %
epoch 12, minibatch 5000/5000, validation error 1.490000 %
epoch 13, minibatch 5000/5000, validation error 1.490000 %
epoch 14, minibatch 5000/5000, validation error 1.500000 %
epoch 15, minibatch 5000/5000, validation error 1.520000 %
epoch 16, minibatch 5000/5000, validation error 1.500000 %
epoch 17, minibatch 5000/5000, validation error 1.490000 %
epoch 18, minibatch 5000/5000, validation error 1.460000 %
epoch 19, minibatch 5000/5000, validation error 1.440000 %
epoch 19, minibatch 5000/5000, test error of best model 1.520000 %
epoch 20, minibatch 5000/5000, validation error 1.430000 %
epoch 20, minibatch 5000/5000, test error of best model 1.510000 %
epoch 21, minibatch 5000/5000, validation error 1.440000 %
epoch 22, minibatch 5000/5000, validation error 1.440000 %
epoch 23, minibatch 5000/5000, validation error 1.430000 %
epoch 24, minibatch 5000/5000, validation error 1.440000 %
epoch 25, minibatch 5000/5000, validation error 1.440000 %
epoch 26, minibatch 5000/5000, validation error 1.440000 %
epoch 27, minibatch 5000/5000, validation error 1.440000 %
epoch 28, minibatch 5000/5000, validation error 1.450000 %
epoch 29, minibatch 5000/5000, validation error 1.440000 %
epoch 30, minibatch 5000/5000, validation error 1.440000 %
epoch 31, minibatch 5000/5000, validation error 1.410000 %
epoch 31, minibatch 5000/5000, test error of best model 1.410000 %
epoch 32, minibatch 5000/5000, validation error 1.400000 %
epoch 32, minibatch 5000/5000, test error of best model 1.420000 %
epoch 33, minibatch 5000/5000, validation error 1.400000 %
epoch 34, minibatch 5000/5000, validation error 1.400000 %
epoch 35, minibatch 5000/5000, validation error 1.400000 %
epoch 36, minibatch 5000/5000, validation error 1.400000 %
epoch 37, minibatch 5000/5000, validation error 1.390000 %
epoch 37, minibatch 5000/5000, test error of best model 1.390000 %
epoch 38, minibatch 5000/5000, validation error 1.380000 %
epoch 38, minibatch 5000/5000, test error of best model 1.400000 %
epoch 39, minibatch 5000/5000, validation error 1.380000 %
epoch 40, minibatch 5000/5000, validation error 1.380000 %
epoch 41, minibatch 5000/5000, validation error 1.370000 %
epoch 41, minibatch 5000/5000, test error of best model 1.380000 %
epoch 42, minibatch 5000/5000, validation error 1.360000 %
epoch 42, minibatch 5000/5000, test error of best model 1.370000 %
epoch 43, minibatch 5000/5000, validation error 1.360000 %
epoch 44, minibatch 5000/5000, validation error 1.360000 %
epoch 45, minibatch 5000/5000, validation error 1.360000 %
epoch 46, minibatch 5000/5000, validation error 1.360000 %
epoch 47, minibatch 5000/5000, validation error 1.360000 %
epoch 48, minibatch 5000/5000, validation error 1.360000 %
epoch 49, minibatch 5000/5000, validation error 1.360000 %
epoch 50, minibatch 5000/5000, validation error 1.360000 %
epoch 51, minibatch 5000/5000, validation error 1.370000 %
epoch 52, minibatch 5000/5000, validation error 1.370000 %
epoch 53, minibatch 5000/5000, validation error 1.380000 %
epoch 54, minibatch 5000/5000, validation error 1.380000 %
epoch 55, minibatch 5000/5000, validation error 1.370000 %
epoch 56, minibatch 5000/5000, validation error 1.370000 %
epoch 57, minibatch 5000/5000, validation error 1.360000 %
epoch 58, minibatch 5000/5000, validation error 1.360000 %
epoch 59, minibatch 5000/5000, validation error 1.370000 %
epoch 60, minibatch 5000/5000, validation error 1.370000 %
epoch 61, minibatch 5000/5000, validation error 1.360000 %
epoch 62, minibatch 5000/5000, validation error 1.350000 %
epoch 62, minibatch 5000/5000, test error of best model 1.300000 %
epoch 63, minibatch 5000/5000, validation error 1.350000 %
epoch 64, minibatch 5000/5000, validation error 1.360000 %
epoch 65, minibatch 5000/5000, validation error 1.360000 %
epoch 66, minibatch 5000/5000, validation error 1.360000 %
epoch 67, minibatch 5000/5000, validation error 1.350000 %
epoch 68, minibatch 5000/5000, validation error 1.340000 %
epoch 68, minibatch 5000/5000, test error of best model 1.290000 %
epoch 69, minibatch 5000/5000, validation error 1.340000 %
epoch 70, minibatch 5000/5000, validation error 1.340000 %
epoch 71, minibatch 5000/5000, validation error 1.340000 %
epoch 72, minibatch 5000/5000, validation error 1.340000 %
epoch 73, minibatch 5000/5000, validation error 1.340000 %
epoch 74, minibatch 5000/5000, validation error 1.340000 %
epoch 75, minibatch 5000/5000, validation error 1.340000 %
epoch 76, minibatch 5000/5000, validation error 1.330000 %
epoch 76, minibatch 5000/5000, test error of best model 1.300000 %
epoch 77, minibatch 5000/5000, validation error 1.330000 %
epoch 78, minibatch 5000/5000, validation error 1.330000 %
epoch 79, minibatch 5000/5000, validation error 1.330000 %
epoch 80, minibatch 5000/5000, validation error 1.330000 %
epoch 81, minibatch 5000/5000, validation error 1.330000 %
epoch 82, minibatch 5000/5000, validation error 1.320000 %
epoch 82, minibatch 5000/5000, test error of best model 1.310000 %
epoch 83, minibatch 5000/5000, validation error 1.320000 %
epoch 84, minibatch 5000/5000, validation error 1.320000 %
epoch 85, minibatch 5000/5000, validation error 1.310000 %
epoch 85, minibatch 5000/5000, test error of best model 1.300000 %
epoch 86, minibatch 5000/5000, validation error 1.310000 %
epoch 87, minibatch 5000/5000, validation error 1.300000 %
epoch 87, minibatch 5000/5000, test error of best model 1.300000 %
epoch 88, minibatch 5000/5000, validation error 1.300000 %
epoch 89, minibatch 5000/5000, validation error 1.300000 %
epoch 90, minibatch 5000/5000, validation error 1.300000 %
epoch 91, minibatch 5000/5000, validation error 1.300000 %
epoch 92, minibatch 5000/5000, validation error 1.300000 %
epoch 93, minibatch 5000/5000, validation error 1.300000 %
epoch 94, minibatch 5000/5000, validation error 1.300000 %
epoch 95, minibatch 5000/5000, validation error 1.300000 %
epoch 96, minibatch 5000/5000, validation error 1.300000 %
epoch 97, minibatch 5000/5000, validation error 1.300000 %
epoch 98, minibatch 5000/5000, validation error 1.300000 %
epoch 99, minibatch 5000/5000, validation error 1.300000 %
epoch 100, minibatch 5000/5000, validation error 1.300000 %
epoch 101, minibatch 5000/5000, validation error 1.300000 %
epoch 102, minibatch 5000/5000, validation error 1.300000 %
epoch 103, minibatch 5000/5000, validation error 1.300000 %
epoch 104, minibatch 5000/5000, validation error 1.300000 %
epoch 105, minibatch 5000/5000, validation error 1.300000 %
epoch 106, minibatch 5000/5000, validation error 1.290000 %
epoch 106, minibatch 5000/5000, test error of best model 1.290000 %
epoch 107, minibatch 5000/5000, validation error 1.280000 %
epoch 107, minibatch 5000/5000, test error of best model 1.290000 %
epoch 108, minibatch 5000/5000, validation error 1.280000 %
epoch 109, minibatch 5000/5000, validation error 1.290000 %
epoch 110, minibatch 5000/5000, validation error 1.290000 %
epoch 111, minibatch 5000/5000, validation error 1.290000 %
epoch 112, minibatch 5000/5000, validation error 1.290000 %
epoch 113, minibatch 5000/5000, validation error 1.290000 %
epoch 114, minibatch 5000/5000, validation error 1.290000 %
epoch 115, minibatch 5000/5000, validation error 1.290000 %
epoch 116, minibatch 5000/5000, validation error 1.290000 %
epoch 117, minibatch 5000/5000, validation error 1.290000 %
epoch 118, minibatch 5000/5000, validation error 1.290000 %
epoch 119, minibatch 5000/5000, validation error 1.290000 %
epoch 120, minibatch 5000/5000, validation error 1.290000 %
epoch 121, minibatch 5000/5000, validation error 1.290000 %
epoch 122, minibatch 5000/5000, validation error 1.290000 %
epoch 123, minibatch 5000/5000, validation error 1.290000 %
epoch 124, minibatch 5000/5000, validation error 1.290000 %
epoch 125, minibatch 5000/5000, validation error 1.290000 %
epoch 126, minibatch 5000/5000, validation error 1.290000 %
epoch 127, minibatch 5000/5000, validation error 1.290000 %
epoch 128, minibatch 5000/5000, validation error 1.300000 %
epoch 129, minibatch 5000/5000, validation error 1.300000 %
epoch 130, minibatch 5000/5000, validation error 1.300000 %
epoch 131, minibatch 5000/5000, validation error 1.300000 %
epoch 132, minibatch 5000/5000, validation error 1.300000 %
epoch 133, minibatch 5000/5000, validation error 1.300000 %
epoch 134, minibatch 5000/5000, validation error 1.300000 %
epoch 135, minibatch 5000/5000, validation error 1.300000 %
epoch 136, minibatch 5000/5000, validation error 1.300000 %
epoch 137, minibatch 5000/5000, validation error 1.300000 %
epoch 138, minibatch 5000/5000, validation error 1.300000 %
epoch 139, minibatch 5000/5000, validation error 1.300000 %
epoch 140, minibatch 5000/5000, validation error 1.300000 %
epoch 141, minibatch 5000/5000, validation error 1.300000 %
epoch 142, minibatch 5000/5000, validation error 1.300000 %
epoch 143, minibatch 5000/5000, validation error 1.300000 %
epoch 144, minibatch 5000/5000, validation error 1.300000 %
epoch 145, minibatch 5000/5000, validation error 1.300000 %
epoch 146, minibatch 5000/5000, validation error 1.300000 %
epoch 147, minibatch 5000/5000, validation error 1.300000 %
epoch 148, minibatch 5000/5000, validation error 1.300000 %
epoch 149, minibatch 5000/5000, validation error 1.300000 %
epoch 150, minibatch 5000/5000, validation error 1.300000 %
epoch 151, minibatch 5000/5000, validation error 1.300000 %
epoch 152, minibatch 5000/5000, validation error 1.300000 %
epoch 153, minibatch 5000/5000, validation error 1.300000 %
epoch 154, minibatch 5000/5000, validation error 1.300000 %
epoch 155, minibatch 5000/5000, validation error 1.300000 %
epoch 156, minibatch 5000/5000, validation error 1.300000 %
epoch 157, minibatch 5000/5000, validation error 1.300000 %
epoch 158, minibatch 5000/5000, validation error 1.300000 %
epoch 159, minibatch 5000/5000, validation error 1.300000 %
epoch 160, minibatch 5000/5000, validation error 1.300000 %
epoch 161, minibatch 5000/5000, validation error 1.300000 %
epoch 162, minibatch 5000/5000, validation error 1.300000 %
epoch 163, minibatch 5000/5000, validation error 1.300000 %
epoch 164, minibatch 5000/5000, validation error 1.300000 %
epoch 165, minibatch 5000/5000, validation error 1.300000 %
epoch 166, minibatch 5000/5000, validation error 1.300000 %
epoch 167, minibatch 5000/5000, validation error 1.300000 %
epoch 168, minibatch 5000/5000, validation error 1.300000 %
epoch 169, minibatch 5000/5000, validation error 1.300000 %
epoch 170, minibatch 5000/5000, validation error 1.300000 %
epoch 171, minibatch 5000/5000, validation error 1.300000 %
epoch 172, minibatch 5000/5000, validation error 1.300000 %
epoch 173, minibatch 5000/5000, validation error 1.300000 %
epoch 174, minibatch 5000/5000, validation error 1.300000 %
epoch 175, minibatch 5000/5000, validation error 1.300000 %
epoch 176, minibatch 5000/5000, validation error 1.300000 %
epoch 177, minibatch 5000/5000, validation error 1.300000 %
epoch 178, minibatch 5000/5000, validation error 1.300000 %
epoch 179, minibatch 5000/5000, validation error 1.300000 %
epoch 180, minibatch 5000/5000, validation error 1.300000 %
epoch 181, minibatch 5000/5000, validation error 1.300000 %
epoch 182, minibatch 5000/5000, validation error 1.300000 %
epoch 183, minibatch 5000/5000, validation error 1.290000 %
epoch 184, minibatch 5000/5000, validation error 1.280000 %
epoch 185, minibatch 5000/5000, validation error 1.280000 %
epoch 186, minibatch 5000/5000, validation error 1.280000 %
epoch 187, minibatch 5000/5000, validation error 1.280000 %
epoch 188, minibatch 5000/5000, validation error 1.280000 %
epoch 189, minibatch 5000/5000, validation error 1.280000 %
epoch 190, minibatch 5000/5000, validation error 1.280000 %
epoch 191, minibatch 5000/5000, validation error 1.280000 %
epoch 192, minibatch 5000/5000, validation error 1.280000 %
epoch 193, minibatch 5000/5000, validation error 1.280000 %
epoch 194, minibatch 5000/5000, validation error 1.280000 %
epoch 195, minibatch 5000/5000, validation error 1.280000 %
epoch 196, minibatch 5000/5000, validation error 1.280000 %
epoch 197, minibatch 5000/5000, validation error 1.280000 %
epoch 198, minibatch 5000/5000, validation error 1.280000 %
epoch 199, minibatch 5000/5000, validation error 1.280000 %
epoch 200, minibatch 5000/5000, validation error 1.280000 %
epoch 201, minibatch 5000/5000, validation error 1.280000 %
epoch 202, minibatch 5000/5000, validation error 1.280000 %
epoch 203, minibatch 5000/5000, validation error 1.280000 %
epoch 204, minibatch 5000/5000, validation error 1.280000 %
epoch 205, minibatch 5000/5000, validation error 1.280000 %
epoch 206, minibatch 5000/5000, validation error 1.280000 %
epoch 207, minibatch 5000/5000, validation error 1.280000 %
epoch 208, minibatch 5000/5000, validation error 1.280000 %
epoch 209, minibatch 5000/5000, validation error 1.280000 %
epoch 210, minibatch 5000/5000, validation error 1.280000 %
epoch 211, minibatch 5000/5000, validation error 1.280000 %
epoch 212, minibatch 5000/5000, validation error 1.280000 %
epoch 213, minibatch 5000/5000, validation error 1.280000 %
Optimization complete with best validation score of 1.280000 %,with test performance 1.290000 %
The fine tuning code for file DBN.py ran for 648.83m
Thu Apr 25 06:23:01 CDT 2013
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