_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
fc1 (Dense) (None, 10) 50
_________________________________________________________________
fc2 (Dense) (None, 10) 110
_________________________________________________________________
output (Dense) (None, 3) 33
=================================================================
Total params: 193
Trainable params: 193
Non-trainable params: 0
_________________________________________________________________
None
Train on 73 samples, validate on 32 samples
Epoch 1/200
- 1s - loss: 1.9704 - acc: 0.3699 - val_loss: 1.7767 - val_acc: 0.2813
Epoch 2/200
- 0s - loss: 1.7471 - acc: 0.3699 - val_loss: 1.5599 - val_acc: 0.2813
Epoch 3/200
- 0s - loss: 1.4922 - acc: 0.3699 - val_loss: 1.3629 - val_acc: 0.2813
Epoch 4/200
- 0s - loss: 1.2912 - acc: 0.3699 - val_loss: 1.2328 - val_acc: 0.2813
Epoch 5/200
- 0s - loss: 1.1641 - acc: 0.3699 - val_loss: 1.1803 - val_acc: 0.2813
Epoch 6/200
- 0s - loss: 1.1148 - acc: 0.3699 - val_loss: 1.1557 - val_acc: 0.3125
Epoch 7/200
- 0s - loss: 1.0869 - acc: 0.4110 - val_loss: 1.1394 - val_acc: 0.3125
Epoch 8/200
- 0s - loss: 1.0757 - acc: 0.4384 - val_loss: 1.1265 - val_acc: 0.3125
Epoch 9/200
- 0s - loss: 1.0585 - acc: 0.4247 - val_loss: 1.1189 - val_acc: 0.2813
Epoch 10/200
- 0s - loss: 1.0454 - acc: 0.4110 - val_loss: 1.0948 - val_acc: 0.3125
Epoch 11/200
- 0s - loss: 1.0310 - acc: 0.3836 - val_loss: 1.0808 - val_acc: 0.2813
Epoch 12/200
- 0s - loss: 1.0197 - acc: 0.3973 - val_loss: 1.0656 - val_acc: 0.3125
Epoch 13/200
- 0s - loss: 1.0021 - acc: 0.4110 - val_loss: 1.0549 - val_acc: 0.2813
Epoch 14/200
- 0s - loss: 0.9878 - acc: 0.4110 - val_loss: 1.0381 - val_acc: 0.2813
Epoch 15/200
- 0s - loss: 0.9732 - acc: 0.4110 - val_loss: 1.0195 - val_acc: 0.2813
Epoch 16/200
- 0s - loss: 0.9605 - acc: 0.4384 - val_loss: 0.9957 - val_acc: 0.4063
Epoch 17/200
- 0s - loss: 0.9428 - acc: 0.5342 - val_loss: 0.9771 - val_acc: 0.5313
Epoch 18/200
- 0s - loss: 0.9285 - acc: 0.5753 - val_loss: 0.9578 - val_acc: 0.6875
Epoch 19/200
- 0s - loss: 0.9127 - acc: 0.6164 - val_loss: 0.9512 - val_acc: 0.6875
Epoch 20/200
- 0s - loss: 0.8975 - acc: 0.6301 - val_loss: 0.9251 - val_acc: 0.7188
Epoch 21/200
- 0s - loss: 0.8806 - acc: 0.6712 - val_loss: 0.9099 - val_acc: 0.6875
Epoch 22/200
- 0s - loss: 0.8633 - acc: 0.6575 - val_loss: 0.8929 - val_acc: 0.6875
Epoch 23/200
- 0s - loss: 0.8493 - acc: 0.7260 - val_loss: 0.8718 - val_acc: 0.7813
Epoch 24/200
- 0s - loss: 0.8370 - acc: 0.7123 - val_loss: 0.8420 - val_acc: 0.7188
Epoch 25/200
- 0s - loss: 0.8123 - acc: 0.6986 - val_loss: 0.8243 - val_acc: 0.7188
Epoch 26/200
- 0s - loss: 0.7942 - acc: 0.7123 - val_loss: 0.8065 - val_acc: 0.7188
Epoch 27/200
- 0s - loss: 0.7772 - acc: 0.7534 - val_loss: 0.7840 - val_acc: 0.7500
Epoch 28/200
- 0s - loss: 0.7587 - acc: 0.7534 - val_loss: 0.7547 - val_acc: 0.7188
Epoch 29/200
- 0s - loss: 0.7410 - acc: 0.7260 - val_loss: 0.7381 - val_acc: 0.7188
Epoch 30/200
- 0s - loss: 0.7196 - acc: 0.7534 - val_loss: 0.7116 - val_acc: 0.7813
Epoch 31/200
- 0s - loss: 0.7067 - acc: 0.7671 - val_loss: 0.6967 - val_acc: 0.7500
Epoch 32/200
- 0s - loss: 0.6853 - acc: 0.7534 - val_loss: 0.6708 - val_acc: 0.7500
Epoch 33/200
- 0s - loss: 0.6668 - acc: 0.7534 - val_loss: 0.6486 - val_acc: 0.7813
Epoch 34/200
- 0s - loss: 0.6531 - acc: 0.7671 - val_loss: 0.6327 - val_acc: 0.7813
Epoch 35/200
- 0s - loss: 0.6335 - acc: 0.7534 - val_loss: 0.6135 - val_acc: 0.7813
Epoch 36/200
- 0s - loss: 0.6156 - acc: 0.7534 - val_loss: 0.5945 - val_acc: 0.7813
Epoch 37/200
- 0s - loss: 0.6020 - acc: 0.7945 - val_loss: 0.5791 - val_acc: 0.8125
Epoch 38/200
- 0s - loss: 0.5896 - acc: 0.7808 - val_loss: 0.5630 - val_acc: 0.7813
Epoch 39/200
- 0s - loss: 0.5698 - acc: 0.7808 - val_loss: 0.5442 - val_acc: 0.7813
Epoch 40/200
- 0s - loss: 0.5562 - acc: 0.8082 - val_loss: 0.5299 - val_acc: 0.7813
Epoch 41/200
- 0s - loss: 0.5406 - acc: 0.8082 - val_loss: 0.5145 - val_acc: 0.7813
Epoch 42/200
- 0s - loss: 0.5286 - acc: 0.8082 - val_loss: 0.4990 - val_acc: 0.7813
Epoch 43/200
- 0s - loss: 0.5151 - acc: 0.7945 - val_loss: 0.4878 - val_acc: 0.7813
Epoch 44/200
- 0s - loss: 0.5035 - acc: 0.7808 - val_loss: 0.4758 - val_acc: 0.7813
Epoch 45/200
- 0s - loss: 0.4927 - acc: 0.8082 - val_loss: 0.4639 - val_acc: 0.8125
Epoch 46/200
- 0s - loss: 0.4803 - acc: 0.8493 - val_loss: 0.4542 - val_acc: 0.8438
Epoch 47/200
- 0s - loss: 0.4725 - acc: 0.9452 - val_loss: 0.4445 - val_acc: 0.9063
Epoch 48/200
- 0s - loss: 0.4681 - acc: 0.8219 - val_loss: 0.4380 - val_acc: 0.7813
Epoch 49/200
- 0s - loss: 0.4494 - acc: 0.8493 - val_loss: 0.4260 - val_acc: 0.8438
Epoch 50/200
- 0s - loss: 0.4412 - acc: 0.9452 - val_loss: 0.4177 - val_acc: 0.9063
Epoch 51/200
- 0s - loss: 0.4456 - acc: 0.9589 - val_loss: 0.4101 - val_acc: 0.9688
Epoch 52/200
- 0s - loss: 0.4285 - acc: 0.8630 - val_loss: 0.4042 - val_acc: 0.8125
Epoch 53/200
- 0s - loss: 0.4172 - acc: 0.8630 - val_loss: 0.3926 - val_acc: 0.8438
Epoch 54/200
- 0s - loss: 0.4060 - acc: 0.9452 - val_loss: 0.3862 - val_acc: 0.9063
Epoch 55/200
- 0s - loss: 0.3986 - acc: 0.9452 - val_loss: 0.3825 - val_acc: 0.8438
Epoch 56/200
- 0s - loss: 0.3915 - acc: 0.9589 - val_loss: 0.3759 - val_acc: 0.9063
Epoch 57/200
- 0s - loss: 0.3836 - acc: 0.9452 - val_loss: 0.3698 - val_acc: 0.8438
Epoch 58/200
- 0s - loss: 0.3772 - acc: 0.9589 - val_loss: 0.3625 - val_acc: 0.9375
Epoch 59/200
- 0s - loss: 0.3707 - acc: 0.9589 - val_loss: 0.3562 - val_acc: 0.9063
Epoch 60/200
- 0s - loss: 0.3671 - acc: 0.9589 - val_loss: 0.3527 - val_acc: 0.9688
Epoch 61/200
- 0s - loss: 0.3560 - acc: 0.9589 - val_loss: 0.3473 - val_acc: 0.9063
Epoch 62/200
- 0s - loss: 0.3501 - acc: 0.9589 - val_loss: 0.3426 - val_acc: 0.9688
Epoch 63/200
- 0s - loss: 0.3430 - acc: 0.9589 - val_loss: 0.3376 - val_acc: 0.9375
Epoch 64/200
- 0s - loss: 0.3344 - acc: 0.9589 - val_loss: 0.3331 - val_acc: 0.9688
Epoch 65/200
- 0s - loss: 0.3324 - acc: 0.9726 - val_loss: 0.3305 - val_acc: 0.9688
Epoch 66/200
- 0s - loss: 0.3272 - acc: 0.9589 - val_loss: 0.3257 - val_acc: 0.9375
Epoch 67/200
- 0s - loss: 0.3166 - acc: 0.9726 - val_loss: 0.3229 - val_acc: 0.9688
Epoch 68/200
- 0s - loss: 0.3107 - acc: 0.9726 - val_loss: 0.3201 - val_acc: 0.9688
Epoch 69/200
- 0s - loss: 0.3058 - acc: 0.9589 - val_loss: 0.3161 - val_acc: 0.9375
Epoch 70/200
- 0s - loss: 0.2948 - acc: 0.9726 - val_loss: 0.3108 - val_acc: 0.9688
Epoch 71/200
- 0s - loss: 0.2877 - acc: 0.9589 - val_loss: 0.3070 - val_acc: 0.9375
Epoch 72/200
- 0s - loss: 0.2810 - acc: 0.9726 - val_loss: 0.3053 - val_acc: 0.9375
Epoch 73/200
- 0s - loss: 0.2705 - acc: 0.9863 - val_loss: 0.2984 - val_acc: 0.9375
Epoch 74/200
- 0s - loss: 0.2645 - acc: 0.9589 - val_loss: 0.2937 - val_acc: 0.9375
Epoch 75/200
- 0s - loss: 0.2516 - acc: 0.9726 - val_loss: 0.2827 - val_acc: 0.9375
Epoch 76/200
- 0s - loss: 0.2415 - acc: 0.9863 - val_loss: 0.2770 - val_acc: 0.9063
Epoch 77/200
- 0s - loss: 0.2352 - acc: 0.9589 - val_loss: 0.2676 - val_acc: 0.9375
Epoch 78/200
- 0s - loss: 0.2223 - acc: 0.9863 - val_loss: 0.2626 - val_acc: 0.9063
Epoch 79/200
- 0s - loss: 0.2163 - acc: 0.9863 - val_loss: 0.2571 - val_acc: 0.9063
Epoch 80/200
- 0s - loss: 0.2119 - acc: 0.9863 - val_loss: 0.2512 - val_acc: 0.9375
Epoch 81/200
- 0s - loss: 0.2047 - acc: 0.9726 - val_loss: 0.2471 - val_acc: 0.9375
Epoch 82/200
- 0s - loss: 0.2100 - acc: 0.9726 - val_loss: 0.2431 - val_acc: 0.9375
Epoch 83/200
- 0s - loss: 0.1976 - acc: 0.9726 - val_loss: 0.2406 - val_acc: 0.9375
Epoch 84/200
- 0s - loss: 0.1919 - acc: 0.9863 - val_loss: 0.2382 - val_acc: 0.9063
Epoch 85/200
- 0s - loss: 0.1870 - acc: 0.9863 - val_loss: 0.2346 - val_acc: 0.9375
Epoch 86/200
- 0s - loss: 0.1818 - acc: 0.9726 - val_loss: 0.2304 - val_acc: 0.9375
Epoch 87/200
- 0s - loss: 0.1786 - acc: 0.9863 - val_loss: 0.2306 - val_acc: 0.9063
Epoch 88/200
- 0s - loss: 0.1728 - acc: 0.9863 - val_loss: 0.2257 - val_acc: 0.9375
Epoch 89/200
- 0s - loss: 0.1695 - acc: 0.9726 - val_loss: 0.2244 - val_acc: 0.9375
Epoch 90/200
- 0s - loss: 0.1661 - acc: 0.9863 - val_loss: 0.2228 - val_acc: 0.9063
Epoch 91/200
- 0s - loss: 0.1644 - acc: 0.9863 - val_loss: 0.2183 - val_acc: 0.9375
Epoch 92/200
- 0s - loss: 0.1618 - acc: 0.9863 - val_loss: 0.2175 - val_acc: 0.9375
Epoch 93/200
- 0s - loss: 0.1555 - acc: 0.9863 - val_loss: 0.2140 - val_acc: 0.9375
Epoch 94/200
- 0s - loss: 0.1535 - acc: 0.9863 - val_loss: 0.2115 - val_acc: 0.9375
Epoch 95/200
- 0s - loss: 0.1527 - acc: 0.9726 - val_loss: 0.2093 - val_acc: 0.9375
Epoch 96/200
- 0s - loss: 0.1423 - acc: 0.9863 - val_loss: 0.2132 - val_acc: 0.9063
Epoch 97/200
- 0s - loss: 0.1469 - acc: 0.9863 - val_loss: 0.2078 - val_acc: 0.9063
Epoch 98/200
- 0s - loss: 0.1422 - acc: 0.9863 - val_loss: 0.2067 - val_acc: 0.9063
Epoch 99/200
- 0s - loss: 0.1388 - acc: 0.9726 - val_loss: 0.2016 - val_acc: 0.9375
Epoch 100/200
- 0s - loss: 0.1365 - acc: 0.9863 - val_loss: 0.2029 - val_acc: 0.9375
Epoch 101/200
- 0s - loss: 0.1323 - acc: 0.9863 - val_loss: 0.1990 - val_acc: 0.9375
Epoch 102/200
- 0s - loss: 0.1303 - acc: 0.9863 - val_loss: 0.2004 - val_acc: 0.9063
Epoch 103/200
- 0s - loss: 0.1279 - acc: 0.9863 - val_loss: 0.1952 - val_acc: 0.9375
Epoch 104/200
- 0s - loss: 0.1277 - acc: 0.9863 - val_loss: 0.2001 - val_acc: 0.9063
Epoch 105/200
- 0s - loss: 0.1209 - acc: 0.9863 - val_loss: 0.1925 - val_acc: 0.9375
Epoch 106/200
- 0s - loss: 0.1212 - acc: 0.9863 - val_loss: 0.1918 - val_acc: 0.9375
Epoch 107/200
- 0s - loss: 0.1219 - acc: 0.9863 - val_loss: 0.1888 - val_acc: 0.9375
Epoch 108/200
- 0s - loss: 0.1179 - acc: 0.9863 - val_loss: 0.1939 - val_acc: 0.9063
Epoch 109/200
- 0s - loss: 0.1177 - acc: 0.9863 - val_loss: 0.1862 - val_acc: 0.9375
Epoch 110/200
- 0s - loss: 0.1111 - acc: 0.9863 - val_loss: 0.1935 - val_acc: 0.9063
Epoch 111/200
- 0s - loss: 0.1095 - acc: 0.9863 - val_loss: 0.1861 - val_acc: 0.9375
Epoch 112/200
- 0s - loss: 0.1086 - acc: 0.9863 - val_loss: 0.1842 - val_acc: 0.9375
Epoch 113/200
- 0s - loss: 0.1058 - acc: 0.9863 - val_loss: 0.1854 - val_acc: 0.9375
Epoch 114/200
- 0s - loss: 0.1056 - acc: 0.9863 - val_loss: 0.1832 - val_acc: 0.9375
Epoch 115/200
- 0s - loss: 0.1026 - acc: 0.9863 - val_loss: 0.1803 - val_acc: 0.9375
Epoch 116/200
- 0s - loss: 0.1061 - acc: 0.9863 - val_loss: 0.1821 - val_acc: 0.9375
Epoch 117/200
- 0s - loss: 0.0986 - acc: 0.9863 - val_loss: 0.1789 - val_acc: 0.9375
Epoch 118/200
- 0s - loss: 0.0975 - acc: 0.9863 - val_loss: 0.1833 - val_acc: 0.9375
Epoch 119/200
- 0s - loss: 0.0951 - acc: 0.9863 - val_loss: 0.1789 - val_acc: 0.9375
Epoch 120/200
- 0s - loss: 0.0943 - acc: 0.9863 - val_loss: 0.1754 - val_acc: 0.9375
Epoch 121/200
- 0s - loss: 0.0926 - acc: 0.9863 - val_loss: 0.1796 - val_acc: 0.9375
Epoch 122/200
- 0s - loss: 0.0923 - acc: 0.9863 - val_loss: 0.1762 - val_acc: 0.9375
Epoch 123/200
- 0s - loss: 0.0898 - acc: 0.9863 - val_loss: 0.1731 - val_acc: 0.9375
Epoch 124/200
- 0s - loss: 0.0896 - acc: 0.9863 - val_loss: 0.1744 - val_acc: 0.9375
Epoch 125/200
- 0s - loss: 0.0862 - acc: 0.9863 - val_loss: 0.1759 - val_acc: 0.9375
Epoch 126/200
- 0s - loss: 0.0898 - acc: 0.9863 - val_loss: 0.1790 - val_acc: 0.9063
Epoch 127/200
- 0s - loss: 0.0846 - acc: 0.9863 - val_loss: 0.1689 - val_acc: 0.9375
Epoch 128/200
- 0s - loss: 0.0849 - acc: 0.9863 - val_loss: 0.1706 - val_acc: 0.9375
Epoch 129/200
- 0s - loss: 0.0810 - acc: 0.9863 - val_loss: 0.1767 - val_acc: 0.9375
Epoch 130/200
- 0s - loss: 0.0838 - acc: 1.0000 - val_loss: 0.1707 - val_acc: 0.9375
Epoch 131/200
- 0s - loss: 0.0809 - acc: 0.9863 - val_loss: 0.1729 - val_acc: 0.9375
Epoch 132/200
- 0s - loss: 0.0810 - acc: 0.9863 - val_loss: 0.1686 - val_acc: 0.9375
Epoch 133/200
- 0s - loss: 0.0781 - acc: 0.9863 - val_loss: 0.1692 - val_acc: 0.9375
Epoch 134/200
- 0s - loss: 0.0786 - acc: 1.0000 - val_loss: 0.1773 - val_acc: 0.8750
Epoch 135/200
- 0s - loss: 0.0759 - acc: 0.9863 - val_loss: 0.1646 - val_acc: 0.9375
Epoch 136/200
- 0s - loss: 0.0732 - acc: 0.9863 - val_loss: 0.1683 - val_acc: 0.9375
Epoch 137/200
- 0s - loss: 0.0784 - acc: 1.0000 - val_loss: 0.1784 - val_acc: 0.8750
Epoch 138/200
- 0s - loss: 0.0707 - acc: 0.9863 - val_loss: 0.1626 - val_acc: 0.9375
Epoch 139/200
- 0s - loss: 0.0724 - acc: 0.9863 - val_loss: 0.1682 - val_acc: 0.9375
Epoch 140/200
- 0s - loss: 0.0705 - acc: 1.0000 - val_loss: 0.1711 - val_acc: 0.9375
Epoch 141/200
- 0s - loss: 0.0738 - acc: 0.9863 - val_loss: 0.1626 - val_acc: 0.9375
Epoch 142/200
- 0s - loss: 0.0672 - acc: 0.9863 - val_loss: 0.1675 - val_acc: 0.9375
Epoch 143/200
- 0s - loss: 0.0666 - acc: 1.0000 - val_loss: 0.1696 - val_acc: 0.9375
Epoch 144/200
- 0s - loss: 0.0666 - acc: 1.0000 - val_loss: 0.1735 - val_acc: 0.9063
Epoch 145/200
- 0s - loss: 0.0668 - acc: 1.0000 - val_loss: 0.1664 - val_acc: 0.9375
Epoch 146/200
- 0s - loss: 0.0659 - acc: 0.9863 - val_loss: 0.1624 - val_acc: 0.9375
Epoch 147/200
- 0s - loss: 0.0652 - acc: 1.0000 - val_loss: 0.1730 - val_acc: 0.9063
Epoch 148/200
- 0s - loss: 0.0684 - acc: 1.0000 - val_loss: 0.1679 - val_acc: 0.9375
Epoch 149/200
- 0s - loss: 0.0609 - acc: 0.9863 - val_loss: 0.1608 - val_acc: 0.9375
Epoch 150/200
- 0s - loss: 0.0621 - acc: 1.0000 - val_loss: 0.1651 - val_acc: 0.9375
Epoch 151/200
- 0s - loss: 0.0610 - acc: 0.9863 - val_loss: 0.1633 - val_acc: 0.9375
Epoch 152/200
- 0s - loss: 0.0597 - acc: 1.0000 - val_loss: 0.1701 - val_acc: 0.9375
Epoch 153/200
- 0s - loss: 0.0612 - acc: 1.0000 - val_loss: 0.1599 - val_acc: 0.9375
Epoch 154/200
- 0s - loss: 0.0602 - acc: 1.0000 - val_loss: 0.1646 - val_acc: 0.9375
Epoch 155/200
- 0s - loss: 0.0590 - acc: 1.0000 - val_loss: 0.1718 - val_acc: 0.9063
Epoch 156/200
- 0s - loss: 0.0577 - acc: 1.0000 - val_loss: 0.1647 - val_acc: 0.9375
Epoch 157/200
- 0s - loss: 0.0580 - acc: 1.0000 - val_loss: 0.1632 - val_acc: 0.9375
Epoch 158/200
- 0s - loss: 0.0556 - acc: 1.0000 - val_loss: 0.1598 - val_acc: 0.9375
Epoch 159/200
- 0s - loss: 0.0554 - acc: 1.0000 - val_loss: 0.1651 - val_acc: 0.9375
Epoch 160/200
- 0s - loss: 0.0558 - acc: 1.0000 - val_loss: 0.1601 - val_acc: 0.9375
Epoch 161/200
- 0s - loss: 0.0561 - acc: 0.9863 - val_loss: 0.1601 - val_acc: 0.9375
Epoch 162/200
- 0s - loss: 0.0564 - acc: 1.0000 - val_loss: 0.1799 - val_acc: 0.8750
Epoch 163/200
- 0s - loss: 0.0523 - acc: 1.0000 - val_loss: 0.1573 - val_acc: 0.9375
Epoch 164/200
- 0s - loss: 0.0544 - acc: 0.9863 - val_loss: 0.1550 - val_acc: 0.9063
Epoch 165/200
- 0s - loss: 0.0515 - acc: 1.0000 - val_loss: 0.1709 - val_acc: 0.9063
Epoch 166/200
- 0s - loss: 0.0521 - acc: 1.0000 - val_loss: 0.1692 - val_acc: 0.9063
Epoch 167/200
- 0s - loss: 0.0527 - acc: 1.0000 - val_loss: 0.1595 - val_acc: 0.9375
Epoch 168/200
- 0s - loss: 0.0515 - acc: 1.0000 - val_loss: 0.1629 - val_acc: 0.9375
Epoch 169/200
- 0s - loss: 0.0519 - acc: 0.9863 - val_loss: 0.1570 - val_acc: 0.9375
Epoch 170/200
- 0s - loss: 0.0480 - acc: 1.0000 - val_loss: 0.1711 - val_acc: 0.9063
Epoch 171/200
- 0s - loss: 0.0485 - acc: 1.0000 - val_loss: 0.1641 - val_acc: 0.9375
Epoch 172/200
- 0s - loss: 0.0487 - acc: 1.0000 - val_loss: 0.1607 - val_acc: 0.9375
Epoch 173/200
- 0s - loss: 0.0484 - acc: 1.0000 - val_loss: 0.1644 - val_acc: 0.9375
Epoch 174/200
- 0s - loss: 0.0507 - acc: 1.0000 - val_loss: 0.1575 - val_acc: 0.9375
Epoch 175/200
- 0s - loss: 0.0454 - acc: 1.0000 - val_loss: 0.1741 - val_acc: 0.8750
Epoch 176/200
- 0s - loss: 0.0473 - acc: 1.0000 - val_loss: 0.1681 - val_acc: 0.9063
Epoch 177/200
- 0s - loss: 0.0449 - acc: 1.0000 - val_loss: 0.1543 - val_acc: 0.9375
Epoch 178/200
- 0s - loss: 0.0459 - acc: 1.0000 - val_loss: 0.1598 - val_acc: 0.9375
Epoch 179/200
- 0s - loss: 0.0437 - acc: 1.0000 - val_loss: 0.1669 - val_acc: 0.9063
Epoch 180/200
- 0s - loss: 0.0440 - acc: 1.0000 - val_loss: 0.1656 - val_acc: 0.9063
Epoch 181/200
- 0s - loss: 0.0431 - acc: 1.0000 - val_loss: 0.1597 - val_acc: 0.9375
Epoch 182/200
- 0s - loss: 0.0479 - acc: 1.0000 - val_loss: 0.1590 - val_acc: 0.9375
Epoch 183/200
- 0s - loss: 0.0438 - acc: 1.0000 - val_loss: 0.1598 - val_acc: 0.9375
Epoch 184/200
- 0s - loss: 0.0450 - acc: 1.0000 - val_loss: 0.1635 - val_acc: 0.9375
Epoch 185/200
- 0s - loss: 0.0417 - acc: 1.0000 - val_loss: 0.1612 - val_acc: 0.9375
Epoch 186/200
- 0s - loss: 0.0439 - acc: 1.0000 - val_loss: 0.1646 - val_acc: 0.9375
Epoch 187/200
- 0s - loss: 0.0456 - acc: 1.0000 - val_loss: 0.1626 - val_acc: 0.9375
Epoch 188/200
- 0s - loss: 0.0427 - acc: 1.0000 - val_loss: 0.1633 - val_acc: 0.9375
Epoch 189/200
- 0s - loss: 0.0411 - acc: 1.0000 - val_loss: 0.1686 - val_acc: 0.9063
Epoch 190/200
- 0s - loss: 0.0413 - acc: 1.0000 - val_loss: 0.1578 - val_acc: 0.9375
Epoch 191/200
- 0s - loss: 0.0459 - acc: 1.0000 - val_loss: 0.1719 - val_acc: 0.9063
Epoch 192/200
- 0s - loss: 0.0393 - acc: 1.0000 - val_loss: 0.1587 - val_acc: 0.9375
Epoch 193/200
- 0s - loss: 0.0401 - acc: 1.0000 - val_loss: 0.1588 - val_acc: 0.9375
Epoch 194/200
- 0s - loss: 0.0391 - acc: 1.0000 - val_loss: 0.1712 - val_acc: 0.9063
Epoch 195/200
- 0s - loss: 0.0389 - acc: 1.0000 - val_loss: 0.1635 - val_acc: 0.9063
Epoch 196/200
- 0s - loss: 0.0382 - acc: 1.0000 - val_loss: 0.1587 - val_acc: 0.9375
Epoch 197/200
- 0s - loss: 0.0381 - acc: 1.0000 - val_loss: 0.1681 - val_acc: 0.9063
Epoch 198/200
- 0s - loss: 0.0457 - acc: 1.0000 - val_loss: 0.1738 - val_acc: 0.9063
Epoch 199/200
- 0s - loss: 0.0406 - acc: 1.0000 - val_loss: 0.1540 - val_acc: 0.9063
Epoch 200/200
- 0s - loss: 0.0389 - acc: 1.0000 - val_loss: 0.1699 - val_acc: 0.9063
45/45 [==============================] - 0s 78us/step
Final test set loss: 0.093854
Final test set accuracy: 0.977778