----------ITERATION 0: Recognition accuracy: 422136 right out of 1647232, 25.63% correct. CV accuracy: 42520 right out of 167227, 25.43% correct. 1: Training accuracy: 799068 right out of 1480005, 53.99% correct. CV accuracy: 67779 right out of 167227, 40.53% correct. 2: Training accuracy: 845189 right out of 1480005, 57.11% correct. CV accuracy: 69405 right out of 167227, 41.50% correct. 3: Training accuracy: 856353 right out of 1480005, 57.86% correct. CV accuracy: 70234 right out of 167227, 42.00% correct. 4: Training accuracy: 831431 right out of 1480005, 56.18% correct. CV accuracy: 75748 right out of 167227, 45.30% correct. 5: Training accuracy: 817753 right out of 1480005, 55.25% correct. CV accuracy: 77479 right out of 167227, 46.33% correct. 6: Training accuracy: 799419 right out of 1480005, 54.01% correct. CV accuracy: 78906 right out of 167227, 47.18% correct. 7: Training accuracy: 774531 right out of 1480005, 52.33% correct. CV accuracy: 78645 right out of 167227, 47.03% correct. Best CV accuracy: 47.18% correct in epoch 6. Recognition accuracy: 821517 right out of 1647232, 49.87% correct. ----------ITERATION 2: Recognition accuracy: 821517 right out of 1647232, 49.87% correct. CV accuracy: 39696 right out of 167227, 23.74% correct. 1: Training accuracy: 847703 right out of 1480005, 57.28% correct. CV accuracy: 81057 right out of 167227, 48.47% correct. 2: Training accuracy: 907437 right out of 1480005, 61.31% correct. CV accuracy: 82758 right out of 167227, 49.49% correct. 3: Training accuracy: 922754 right out of 1480005, 62.35% correct. CV accuracy: 84398 right out of 167227, 50.47% correct. 4: Training accuracy: 929557 right out of 1480005, 62.81% correct. CV accuracy: 84296 right out of 167227, 50.41% correct. 5: Training accuracy: 922000 right out of 1480005, 62.30% correct. CV accuracy: 89648 right out of 167227, 53.61% correct. 6: Training accuracy: 922067 right out of 1480005, 62.30% correct. CV accuracy: 92713 right out of 167227, 55.44% correct. 7: Training accuracy: 913508 right out of 1480005, 61.72% correct. CV accuracy: 93367 right out of 167227, 55.83% correct. Best CV accuracy: 55.83% correct in epoch 7. Recognition accuracy: 977138 right out of 1647232, 59.32% correct. ----------ITERATION 4: Recognition accuracy: 977138 right out of 1647232, 59.32% correct. CV accuracy: 38899 right out of 167227, 23.26% correct. 1: Training accuracy: 858108 right out of 1480005, 57.98% correct. CV accuracy: 82873 right out of 167227, 49.56% correct. 2: Training accuracy: 920915 right out of 1480005, 62.22% correct. CV accuracy: 83917 right out of 167227, 50.18% correct. 3: Training accuracy: 938036 right out of 1480005, 63.38% correct. CV accuracy: 86119 right out of 167227, 51.50% correct. 4: Training accuracy: 946132 right out of 1480005, 63.93% correct. CV accuracy: 86377 right out of 167227, 51.65% correct. 5: Training accuracy: 943577 right out of 1480005, 63.75% correct. CV accuracy: 90967 right out of 167227, 54.40% correct. 6: Training accuracy: 943302 right out of 1480005, 63.74% correct. CV accuracy: 94167 right out of 167227, 56.31% correct. 7: Training accuracy: 936619 right out of 1480005, 63.28% correct. CV accuracy: 94897 right out of 167227, 56.75% correct. Best CV accuracy: 56.75% correct in epoch 7. Recognition accuracy: 1002165 right out of 1647232, 60.84% correct.