Iter 1280, Minibatch Loss= 19962.560547, Training Accuracy= 0.36719
Iter 2560, Minibatch Loss= 13739.670898, Training Accuracy= 0.44531
Iter 3840, Minibatch Loss= 7524.104004, Training Accuracy= 0.64062
Iter 5120, Minibatch Loss= 4035.477051, Training Accuracy= 0.74219
Iter 6400, Minibatch Loss= 2707.753906, Training Accuracy= 0.84375
Iter 7680, Minibatch Loss= 6109.415039, Training Accuracy= 0.73438
Iter 8960, Minibatch Loss= 2094.771484, Training Accuracy= 0.82031
Iter 10240, Minibatch Loss= 3079.223145, Training Accuracy= 0.83594
Iter 11520, Minibatch Loss= 1686.002686, Training Accuracy= 0.90625
Iter 12800, Minibatch Loss= 2522.035156, Training Accuracy= 0.82031
Iter 14080, Minibatch Loss= 1238.963501, Training Accuracy= 0.88281
Iter 15360, Minibatch Loss= 1550.383789, Training Accuracy= 0.91406
Iter 16640, Minibatch Loss= 2037.467407, Training Accuracy= 0.91406
Iter 17920, Minibatch Loss= 1096.046143, Training Accuracy= 0.89844
Iter 19200, Minibatch Loss= 1152.413818, Training Accuracy= 0.89844
Iter 20480, Minibatch Loss= 575.890259, Training Accuracy= 0.94531
Iter 21760, Minibatch Loss= 2758.233887, Training Accuracy= 0.86719
Iter 23040, Minibatch Loss= 1042.236084, Training Accuracy= 0.91406
Iter 24320, Minibatch Loss= 1139.707153, Training Accuracy= 0.91406
Iter 25600, Minibatch Loss= 1014.852234, Training Accuracy= 0.91406
Iter 26880, Minibatch Loss= 985.695435, Training Accuracy= 0.90625
Iter 28160, Minibatch Loss= 784.433899, Training Accuracy= 0.95312
Iter 29440, Minibatch Loss= 1312.036865, Training Accuracy= 0.93750
Iter 30720, Minibatch Loss= 1574.776123, Training Accuracy= 0.85938
Iter 32000, Minibatch Loss= 786.658752, Training Accuracy= 0.92188
Iter 33280, Minibatch Loss= 904.375732, Training Accuracy= 0.90625
Iter 34560, Minibatch Loss= 553.331177, Training Accuracy= 0.96094
Iter 35840, Minibatch Loss= 268.579224, Training Accuracy= 0.96094
Iter 37120, Minibatch Loss= 1533.877686, Training Accuracy= 0.91406
Iter 38400, Minibatch Loss= 323.427185, Training Accuracy= 0.96094
Iter 39680, Minibatch Loss= 387.774078, Training Accuracy= 0.96875
Iter 40960, Minibatch Loss= 1715.158447, Training Accuracy= 0.88281
Iter 42240, Minibatch Loss= 399.348267, Training Accuracy= 0.96875
Iter 43520, Minibatch Loss= 506.974731, Training Accuracy= 0.96094
Iter 44800, Minibatch Loss= 401.973633, Training Accuracy= 0.93750
Iter 46080, Minibatch Loss= 271.634735, Training Accuracy= 0.98438
Iter 47360, Minibatch Loss= 678.318665, Training Accuracy= 0.92969
Iter 48640, Minibatch Loss= 1118.692871, Training Accuracy= 0.92188
Iter 49920, Minibatch Loss= 644.128052, Training Accuracy= 0.92969
Iter 51200, Minibatch Loss= 343.946899, Training Accuracy= 0.96875
Iter 52480, Minibatch Loss= 306.724915, Training Accuracy= 0.95312
Iter 53760, Minibatch Loss= 102.615593, Training Accuracy= 0.98438
Iter 55040, Minibatch Loss= 653.916382, Training Accuracy= 0.94531
Iter 56320, Minibatch Loss= 20.803375, Training Accuracy= 0.98438
Iter 57600, Minibatch Loss= 712.252197, Training Accuracy= 0.93750
Iter 58880, Minibatch Loss= 420.607391, Training Accuracy= 0.96094
Iter 60160, Minibatch Loss= 130.615906, Training Accuracy= 0.96094
Iter 61440, Minibatch Loss= 461.880981, Training Accuracy= 0.94531
Iter 62720, Minibatch Loss= 561.778320, Training Accuracy= 0.92969
Iter 64000, Minibatch Loss= 298.479156, Training Accuracy= 0.93750
Iter 65280, Minibatch Loss= 405.816803, Training Accuracy= 0.95312
Iter 66560, Minibatch Loss= 360.632263, Training Accuracy= 0.97656
Iter 67840, Minibatch Loss= 161.386093, Training Accuracy= 0.98438
Iter 69120, Minibatch Loss= 243.374329, Training Accuracy= 0.96875
Iter 70400, Minibatch Loss= 367.634460, Training Accuracy= 0.96094
Iter 71680, Minibatch Loss= 203.634628, Training Accuracy= 0.98438
Iter 72960, Minibatch Loss= 581.069702, Training Accuracy= 0.92188
Iter 74240, Minibatch Loss= 293.486969, Training Accuracy= 0.96875
Iter 75520, Minibatch Loss= 673.713928, Training Accuracy= 0.96094
Iter 76800, Minibatch Loss= 576.491333, Training Accuracy= 0.92969
MNIST + Oracle
Iter 1280, Minibatch Loss= 23782.429688, Training Accuracy= 0.28906
Iter 2560, Minibatch Loss= 12005.064453, Training Accuracy= 0.55469
Iter 3840, Minibatch Loss= 6705.380859, Training Accuracy= 0.64062
Iter 5120, Minibatch Loss= 4145.218750, Training Accuracy= 0.81250
Iter 6400, Minibatch Loss= 3995.766846, Training Accuracy= 0.78906
Iter 7680, Minibatch Loss= 5334.884766, Training Accuracy= 0.81250
Iter 8960, Minibatch Loss= 2004.367920, Training Accuracy= 0.86719
Iter 10240, Minibatch Loss= 3806.265381, Training Accuracy= 0.82812
Iter 11520, Minibatch Loss= 1113.378174, Training Accuracy= 0.91406
Iter 12800, Minibatch Loss= 2700.894043, Training Accuracy= 0.82031
Iter 14080, Minibatch Loss= 1153.599121, Training Accuracy= 0.90625
Iter 15360, Minibatch Loss= 1982.867676, Training Accuracy= 0.91406
Iter 16640, Minibatch Loss= 2211.320068, Training Accuracy= 0.89062
Iter 17920, Minibatch Loss= 1514.970947, Training Accuracy= 0.89844
Iter 19200, Minibatch Loss= 1323.605591, Training Accuracy= 0.90625
Iter 20480, Minibatch Loss= 292.784790, Training Accuracy= 0.96875
Iter 21760, Minibatch Loss= 2582.881836, Training Accuracy= 0.87500
Iter 23040, Minibatch Loss= 1149.711182, Training Accuracy= 0.91406
Iter 24320, Minibatch Loss= 1193.457275, Training Accuracy= 0.92969
Iter 25600, Minibatch Loss= 1050.972412, Training Accuracy= 0.91406
Iter 26880, Minibatch Loss= 788.459839, Training Accuracy= 0.94531
Iter 28160, Minibatch Loss= 1133.501343, Training Accuracy= 0.93750
Iter 29440, Minibatch Loss= 1391.969849, Training Accuracy= 0.94531
Iter 30720, Minibatch Loss= 505.880280, Training Accuracy= 0.94531
Iter 32000, Minibatch Loss= 879.750854, Training Accuracy= 0.96094
Iter 33280, Minibatch Loss= 994.499146, Training Accuracy= 0.93750
Iter 34560, Minibatch Loss= 642.706360, Training Accuracy= 0.96094
Iter 35840, Minibatch Loss= 712.332031, Training Accuracy= 0.97656
Iter 37120, Minibatch Loss= 1037.751831, Training Accuracy= 0.91406
Iter 38400, Minibatch Loss= 227.823425, Training Accuracy= 0.96875
Iter 39680, Minibatch Loss= 220.919678, Training Accuracy= 0.97656
Iter 40960, Minibatch Loss= 1413.441895, Training Accuracy= 0.91406
Iter 42240, Minibatch Loss= 589.302734, Training Accuracy= 0.94531
Iter 43520, Minibatch Loss= 372.825562, Training Accuracy= 0.96875
Iter 44800, Minibatch Loss= 290.035034, Training Accuracy= 0.96875
Iter 46080, Minibatch Loss= 515.195435, Training Accuracy= 0.96875
Iter 47360, Minibatch Loss= 1096.583984, Training Accuracy= 0.92969
Iter 48640, Minibatch Loss= 949.467163, Training Accuracy= 0.92188
Iter 49920, Minibatch Loss= 385.614899, Training Accuracy= 0.92969
Iter 51200, Minibatch Loss= 165.101257, Training Accuracy= 0.97656
Iter 52480, Minibatch Loss= 42.679443, Training Accuracy= 0.98438
Iter 53760, Minibatch Loss= 255.097656, Training Accuracy= 0.98438
Iter 55040, Minibatch Loss= 142.685471, Training Accuracy= 0.97656
Iter 56320, Minibatch Loss= 263.062927, Training Accuracy= 0.96875
Iter 57600, Minibatch Loss= 1044.895386, Training Accuracy= 0.94531
Iter 58880, Minibatch Loss= 711.468018, Training Accuracy= 0.92969
Iter 60160, Minibatch Loss= 740.628906, Training Accuracy= 0.95312
Iter 61440, Minibatch Loss= 600.086304, Training Accuracy= 0.94531
Iter 62720, Minibatch Loss= 436.931274, Training Accuracy= 0.96094
Iter 64000, Minibatch Loss= 341.726013, Training Accuracy= 0.96094
Iter 65280, Minibatch Loss= 493.057312, Training Accuracy= 0.93750
Iter 66560, Minibatch Loss= 376.111877, Training Accuracy= 0.95312
Iter 67840, Minibatch Loss= 438.528320, Training Accuracy= 0.96875
Iter 69120, Minibatch Loss= 881.333374, Training Accuracy= 0.94531
Iter 70400, Minibatch Loss= 1122.919312, Training Accuracy= 0.92188
Iter 71680, Minibatch Loss= 51.431854, Training Accuracy= 0.99219
Iter 72960, Minibatch Loss= 42.002426, Training Accuracy= 0.98438
Iter 74240, Minibatch Loss= 553.360779, Training Accuracy= 0.96875
Iter 1280, Minibatch Loss= 23500.910156, Training Accuracy= 0.35156
Iter 2560, Minibatch Loss= 12555.425781, Training Accuracy= 0.53125
Iter 3840, Minibatch Loss= 5362.848633, Training Accuracy= 0.73438
Iter 5120, Minibatch Loss= 2402.180664, Training Accuracy= 0.89844
Iter 6400, Minibatch Loss= 2633.840576, Training Accuracy= 0.87500
Iter 7680, Minibatch Loss= 4015.530518, Training Accuracy= 0.86719
Iter 8960, Minibatch Loss= 2442.350830, Training Accuracy= 0.86719
Iter 10240, Minibatch Loss= 2769.449463, Training Accuracy= 0.90625
Iter 11520, Minibatch Loss= 1418.146118, Training Accuracy= 0.93750
Iter 12800, Minibatch Loss= 2488.587402, Training Accuracy= 0.89844
Iter 14080, Minibatch Loss= 241.266129, Training Accuracy= 0.96094
Iter 15360, Minibatch Loss= 1021.438416, Training Accuracy= 0.95312
Iter 16640, Minibatch Loss= 1354.750000, Training Accuracy= 0.92188
Iter 17920, Minibatch Loss= 1104.299927, Training Accuracy= 0.96094
Iter 19200, Minibatch Loss= 1376.217896, Training Accuracy= 0.92188
Iter 20480, Minibatch Loss= 328.503021, Training Accuracy= 0.97656
Iter 21760, Minibatch Loss= 2308.048340, Training Accuracy= 0.90625
Iter 23040, Minibatch Loss= 548.335632, Training Accuracy= 0.96875
Iter 24320, Minibatch Loss= 989.700073, Training Accuracy= 0.93750
Iter 25600, Minibatch Loss= 585.037598, Training Accuracy= 0.96875