Iter 2560, Minibatch Loss= 21154.437500, Training Accuracy= 0.30469
Iter 5120, Minibatch Loss= 12081.548828, Training Accuracy= 0.50781
Iter 7680, Minibatch Loss= 11403.013672, Training Accuracy= 0.53125
Iter 10240, Minibatch Loss= 5651.076172, Training Accuracy= 0.70312
Iter 12800, Minibatch Loss= 5953.035645, Training Accuracy= 0.67188
Iter 15360, Minibatch Loss= 2218.375732, Training Accuracy= 0.80469
Iter 17920, Minibatch Loss= 2644.182373, Training Accuracy= 0.78906
Iter 20480, Minibatch Loss= 1479.909546, Training Accuracy= 0.87500
Iter 23040, Minibatch Loss= 1315.046265, Training Accuracy= 0.91406
Iter 25600, Minibatch Loss= 3178.376709, Training Accuracy= 0.77344
Iter 28160, Minibatch Loss= 2294.122559, Training Accuracy= 0.81250
Iter 30720, Minibatch Loss= 1196.053589, Training Accuracy= 0.84375
Iter 33280, Minibatch Loss= 1676.132812, Training Accuracy= 0.85156
Iter 35840, Minibatch Loss= 428.335327, Training Accuracy= 0.92969
Iter 38400, Minibatch Loss= 340.574097, Training Accuracy= 0.95312
Iter 40960, Minibatch Loss= 1397.641113, Training Accuracy= 0.89844
Iter 43520, Minibatch Loss= 558.186829, Training Accuracy= 0.92188
Iter 46080, Minibatch Loss= 606.679749, Training Accuracy= 0.95312
Iter 48640, Minibatch Loss= 1555.515625, Training Accuracy= 0.88281
Iter 51200, Minibatch Loss= 384.410248, Training Accuracy= 0.92188
Iter 53760, Minibatch Loss= 362.374695, Training Accuracy= 0.95312
Iter 56320, Minibatch Loss= 807.723511, Training Accuracy= 0.92969
Iter 58880, Minibatch Loss= 544.502686, Training Accuracy= 0.94531
Iter 61440, Minibatch Loss= 863.515930, Training Accuracy= 0.92188
Iter 64000, Minibatch Loss= 836.524353, Training Accuracy= 0.89844
Iter 66560, Minibatch Loss= 656.470886, Training Accuracy= 0.93750
Iter 69120, Minibatch Loss= 856.812866, Training Accuracy= 0.89844
Iter 71680, Minibatch Loss= 580.534241, Training Accuracy= 0.94531
Iter 74240, Minibatch Loss= 708.007568, Training Accuracy= 0.91406
Iter 76800, Minibatch Loss= 971.588013, Training Accuracy= 0.91406
Iter 79360, Minibatch Loss= 383.844879, Training Accuracy= 0.92969
Iter 81920, Minibatch Loss= 909.780396, Training Accuracy= 0.91406
Iter 84480, Minibatch Loss= 600.898804, Training Accuracy= 0.95312
Iter 87040, Minibatch Loss= 267.563171, Training Accuracy= 0.96094
Iter 89600, Minibatch Loss= 772.752686, Training Accuracy= 0.89844
Iter 92160, Minibatch Loss= 613.072388, Training Accuracy= 0.91406
Iter 94720, Minibatch Loss= 433.241302, Training Accuracy= 0.96094
Iter 97280, Minibatch Loss= 684.323486, Training Accuracy= 0.92969
Iter 99840, Minibatch Loss= 563.071777, Training Accuracy= 0.92188
Optimization Finished!
Testing Accuracy: 0.964844