Full code output from
Full code output from the first Neural Network model
history = model.fit(X_train, y_train, epochs=500, batch_size=10, validation_split=0.2)
Epoch 1/500
1/29 [>.............................] - ETA: 0s - loss: 5701.8042WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0010s vs `on_train_batch_end` time: 0.0018s). Check your callbacks.
29/29 [==============================] - 0s 11ms/step - loss: 3915.3535 - val_loss: 3900.9231
Epoch 2/500
29/29 [==============================] - 0s 4ms/step - loss: 3840.3071 - val_loss: 3829.6680
Epoch 3/500
29/29 [==============================] - 0s 3ms/step - loss: 3774.7615 - val_loss: 3767.2236
Epoch 4/500
29/29 [==============================] - 0s 3ms/step - loss: 3716.6660 - val_loss: 3713.1685
Epoch 5/500
29/29 [==============================] - 0s 4ms/step - loss: 3666.6375 - val_loss: 3664.0435
Epoch 6/500
29/29 [==============================] - 0s 4ms/step - loss: 3620.9622 - val_loss: 3619.6533
Epoch 7/500
29/29 [==============================] - 0s 3ms/step - loss: 3578.0986 - val_loss: 3576.6553
Epoch 8/500
29/29 [==============================] - 0s 3ms/step - loss: 3536.4431 - val_loss: 3536.0579
Epoch 9/500
29/29 [==============================] - 0s 3ms/step - loss: 3496.9668 - val_loss: 3496.1221
Epoch 10/500
29/29 [==============================] - 0s 3ms/step - loss: 3458.6689 - val_loss: 3457.9692
Epoch 11/500
29/29 [==============================] - 0s 3ms/step - loss: 3420.0759 - val_loss: 3417.3521
Epoch 12/500
29/29 [==============================] - 0s 3ms/step - loss: 3377.6262 - val_loss: 3372.6848
Epoch 13/500
29/29 [==============================] - 0s 3ms/step - loss: 3333.2107 - val_loss: 3324.4209
Epoch 14/500
29/29 [==============================] - 0s 3ms/step - loss: 3287.2920 - val_loss: 3278.7478
Epoch 15/500
29/29 [==============================] - 0s 2ms/step - loss: 3240.6738 - val_loss: 3230.3096
Epoch 16/500
29/29 [==============================] - 0s 4ms/step - loss: 3193.5017 - val_loss: 3185.2256
Epoch 17/500
29/29 [==============================] - 0s 4ms/step - loss: 3150.4187 - val_loss: 3142.4910
Epoch 18/500
29/29 [==============================] - 0s 3ms/step - loss: 3109.7153 - val_loss: 3100.8345
Epoch 19/500
29/29 [==============================] - 0s 3ms/step - loss: 3070.4155 - val_loss: 3063.8657
Epoch 20/500
29/29 [==============================] - 0s 2ms/step - loss: 3034.3994 - val_loss: 3027.1116
Epoch 21/500
29/29 [==============================] - 0s 2ms/step - loss: 2999.0679 - val_loss: 2990.8447
Epoch 22/500
29/29 [==============================] - 0s 3ms/step - loss: 2963.0518 - val_loss: 2952.5691
Epoch 23/500
29/29 [==============================] - 0s 3ms/step - loss: 2924.3040 - val_loss: 2911.9348
Epoch 24/500
29/29 [==============================] - 0s 2ms/step - loss: 2885.4832 - val_loss: 2874.9873
Epoch 25/500
29/29 [==============================] - 0s 2ms/step - loss: 2850.0525 - val_loss: 2837.0037
Epoch 26/500
29/29 [==============================] - 0s 2ms/step - loss: 2815.3074 - val_loss: 2803.8662
Epoch 27/500
29/29 [==============================] - 0s 5ms/step - loss: 2782.3552 - val_loss: 2771.7781
Epoch 28/500
29/29 [==============================] - 0s 3ms/step - loss: 2750.8491 - val_loss: 2740.9031
Epoch 29/500
29/29 [==============================] - 0s 3ms/step - loss: 2720.4358 - val_loss: 2709.6824
Epoch 30/500
29/29 [==============================] - 0s 3ms/step - loss: 2691.1797 - val_loss: 2679.4783
Epoch 31/500
29/29 [==============================] - 0s 3ms/step - loss: 2662.5134 - val_loss: 2650.1765
Epoch 32/500
29/29 [==============================] - 0s 2ms/step - loss: 2634.0991 - val_loss: 2623.9707
Epoch 33/500
29/29 [==============================] - 0s 2ms/step - loss: 2608.1487 - val_loss: 2594.8511
Epoch 34/500
29/29 [==============================] - 0s 2ms/step - loss: 2580.5676 - val_loss: 2570.2065
Epoch 35/500
29/29 [==============================] - 0s 2ms/step - loss: 2555.7490 - val_loss: 2543.0837
Epoch 36/500
29/29 [==============================] - 0s 3ms/step - loss: 2530.5012 - val_loss: 2517.2725
Epoch 37/500
29/29 [==============================] - 0s 3ms/step - loss: 2506.3967 - val_loss: 2494.0029
Epoch 38/500
29/29 [==============================] - 0s 2ms/step - loss: 2483.1487 - val_loss: 2469.3989
Epoch 39/500
29/29 [==============================] - 0s 3ms/step - loss: 2460.3682 - val_loss: 2446.8357
Epoch 40/500
29/29 [==============================] - 0s 14ms/step - loss: 2438.3267 - val_loss: 2424.8298
Epoch 41/500
29/29 [==============================] - 0s 7ms/step - loss: 2416.5913 - val_loss: 2403.1768
Epoch 42/500
29/29 [==============================] - 0s 6ms/step - loss: 2395.9312 - val_loss: 2381.1846
Epoch 43/500
29/29 [==============================] - 0s 2ms/step - loss: 2374.9524 - val_loss: 2359.8557
Epoch 44/500
29/29 [==============================] - 0s 2ms/step - loss: 2354.6792 - val_loss: 2340.1677
Epoch 45/500
29/29 [==============================] - 0s 2ms/step - loss: 2335.1614 - val_loss: 2320.8381
Epoch 46/500
29/29 [==============================] - 0s 3ms/step - loss: 2316.0881 - val_loss: 2300.7024
Epoch 47/500
29/29 [==============================] - 0s 9ms/step - loss: 2296.9424 - val_loss: 2281.5049
Epoch 48/500
29/29 [==============================] - 0s 4ms/step - loss: 2278.5154 - val_loss: 2262.8315
Epoch 49/500
29/29 [==============================] - 0s 3ms/step - loss: 2260.5608 - val_loss: 2243.6885
Epoch 50/500
29/29 [==============================] - 0s 3ms/step - loss: 2242.8938 - val_loss: 2227.0669
Epoch 51/500
29/29 [==============================] - 0s 4ms/step - loss: 2226.5164 - val_loss: 2209.1614
Epoch 52/500
29/29 [==============================] - 0s 3ms/step - loss: 2209.8123 - val_loss: 2192.9998
Epoch 53/500
29/29 [==============================] - 0s 3ms/step - loss: 2194.2302 - val_loss: 2176.6140
Epoch 54/500
29/29 [==============================] - 0s 2ms/step - loss: 2178.9631 - val_loss: 2161.3760
Epoch 55/500
29/29 [==============================] - 0s 2ms/step - loss: 2163.9524 - val_loss: 2145.5815
Epoch 56/500
29/29 [==============================] - 0s 2ms/step - loss: 2149.1997 - val_loss: 2130.8469
Epoch 57/500
29/29 [==============================] - 0s 2ms/step - loss: 2135.0598 - val_loss: 2116.5435
Epoch 58/500
29/29 [==============================] - 0s 2ms/step - loss: 2120.9565 - val_loss: 2102.4924
Epoch 59/500
29/29 [==============================] - 0s 2ms/step - loss: 2107.4346 - val_loss: 2087.7705
Epoch 60/500
29/29 [==============================] - 0s 3ms/step - loss: 2093.7385 - val_loss: 2074.4136
Epoch 61/500
29/29 [==============================] - 0s 3ms/step - loss: 2080.5051 - val_loss: 2061.5059
Epoch 62/500
29/29 [==============================] - 0s 2ms/step - loss: 2068.3538 - val_loss: 2048.2114
Epoch 63/500
29/29 [==============================] - 0s 2ms/step - loss: 2056.0823 - val_loss: 2035.3477
Epoch 64/500
29/29 [==============================] - 0s 2ms/step - loss: 2043.7531 - val_loss: 2023.5269
Epoch 65/500
29/29 [==============================] - 0s 2ms/step - loss: 2032.9158 - val_loss: 2010.4692
Epoch 66/500
29/29 [==============================] - 0s 2ms/step - loss: 2020.8567 - val_loss: 1999.3530
Epoch 67/500
29/29 [==============================] - 0s 2ms/step - loss: 2009.8759 - val_loss: 1988.6923
Epoch 68/500
29/29 [==============================] - 0s 2ms/step - loss: 1999.3177 - val_loss: 1976.9409
Epoch 69/500
29/29 [==============================] - 0s 3ms/step - loss: 1988.0896 - val_loss: 1966.8802
Epoch 70/500
29/29 [==============================] - 0s 2ms/step - loss: 1978.2845 - val_loss: 1956.2517
Epoch 71/500
29/29 [==============================] - 0s 3ms/step - loss: 1968.2412 - val_loss: 1946.2780
Epoch 72/500
29/29 [==============================] - 0s 4ms/step - loss: 1958.4062 - val_loss: 1935.7880
Epoch 73/500
29/29 [==============================] - 0s 3ms/step - loss: 1949.1354 - val_loss: 1925.6760
Epoch 74/500
29/29 [==============================] - 0s 2ms/step - loss: 1939.9254 - val_loss: 1917.2517
Epoch 75/500
29/29 [==============================] - 0s 2ms/step - loss: 1931.4813 - val_loss: 1907.9077
Epoch 76/500
29/29 [==============================] - 0s 2ms/step - loss: 1923.0795 - val_loss: 1899.2417
Epoch 77/500
29/29 [==============================] - 0s 2ms/step - loss: 1915.0118 - val_loss: 1890.1069
Epoch 78/500
29/29 [==============================] - 0s 2ms/step - loss: 1906.6787 - val_loss: 1882.6013
Epoch 79/500
29/29 [==============================] - 0s 2ms/step - loss: 1899.2760 - val_loss: 1874.6802
Epoch 80/500
29/29 [==============================] - 0s 4ms/step - loss: 1891.7472 - val_loss: 1867.1222
Epoch 81/500
29/29 [==============================] - 0s 3ms/step - loss: 1884.6030 - val_loss: 1858.9690
Epoch 82/500
29/29 [==============================] - 0s 3ms/step - loss: 1877.3290 - val_loss: 1852.0935
Epoch 83/500
29/29 [==============================] - 0s 2ms/step - loss: 1870.5504 - val_loss: 1844.8550
Epoch 84/500
29/29 [==============================] - 0s 2ms/step - loss: 1863.4760 - val_loss: 1838.0651
Epoch 85/500
29/29 [==============================] - 0s 2ms/step - loss: 1857.2626 - val_loss: 1831.3354
Epoch 86/500
29/29 [==============================] - 0s 2ms/step - loss: 1851.2786 - val_loss: 1824.1671
Epoch 87/500
29/29 [==============================] - 0s 3ms/step - loss: 1845.1886 - val_loss: 1818.2157
Epoch 88/500
29/29 [==============================] - 0s 2ms/step - loss: 1839.3964 - val_loss: 1812.6555
Epoch 89/500
29/29 [==============================] - 0s 2ms/step - loss: 1834.0776 - val_loss: 1807.0243
Epoch 90/500
29/29 [==============================] - 0s 2ms/step - loss: 1828.7788 - val_loss: 1801.4623
Epoch 91/500
29/29 [==============================] - 0s 2ms/step - loss: 1823.7534 - val_loss: 1795.4636
Epoch 92/500
29/29 [==============================] - 0s 2ms/step - loss: 1818.2107 - val_loss: 1790.4745
Epoch 93/500
29/29 [==============================] - 0s 2ms/step - loss: 1813.2845 - val_loss: 1785.3073
Epoch 94/500
29/29 [==============================] - 0s 2ms/step - loss: 1808.5969 - val_loss: 1780.4830
Epoch 95/500
29/29 [==============================] - 0s 2ms/step - loss: 1804.3884 - val_loss: 1776.0129
Epoch 96/500
29/29 [==============================] - 0s 2ms/step - loss: 1799.9968 - val_loss: 1771.4940
Epoch 97/500
29/29 [==============================] - 0s 4ms/step - loss: 1795.9545 - val_loss: 1766.8228
Epoch 98/500
29/29 [==============================] - 0s 2ms/step - loss: 1791.8499 - val_loss: 1763.1443
Epoch 99/500
29/29 [==============================] - 0s 3ms/step - loss: 1788.2310 - val_loss: 1759.2557
Epoch 100/500
29/29 [==============================] - 0s 3ms/step - loss: 1784.4081 - val_loss: 1755.5156
Epoch 101/500
29/29 [==============================] - 0s 2ms/step - loss: 1780.7365 - val_loss: 1751.2889
Epoch 102/500
29/29 [==============================] - 0s 3ms/step - loss: 1777.2706 - val_loss: 1747.4087
Epoch 103/500
29/29 [==============================] - 0s 3ms/step - loss: 1774.0487 - val_loss: 1744.0697
Epoch 104/500
29/29 [==============================] - 0s 2ms/step - loss: 1770.8916 - val_loss: 1740.6279
Epoch 105/500
29/29 [==============================] - 0s 2ms/step - loss: 1767.8813 - val_loss: 1737.3363
Epoch 106/500
29/29 [==============================] - 0s 3ms/step - loss: 1765.0391 - val_loss: 1734.0964
Epoch 107/500
29/29 [==============================] - 0s 2ms/step - loss: 1762.0978 - val_loss: 1731.9048
Epoch 108/500
29/29 [==============================] - 0s 2ms/step - loss: 1759.6354 - val_loss: 1728.6226
Epoch 109/500
29/29 [==============================] - 0s 2ms/step - loss: 1756.9180 - val_loss: 1725.7601
Epoch 110/500
29/29 [==============================] - 0s 2ms/step - loss: 1754.3094 - val_loss: 1723.3668
Epoch 111/500
29/29 [==============================] - 0s 2ms/step - loss: 1752.0834 - val_loss: 1720.6187
Epoch 112/500
29/29 [==============================] - 0s 2ms/step - loss: 1749.7014 - val_loss: 1718.7487
Epoch 113/500
29/29 [==============================] - 0s 2ms/step - loss: 1747.5099 - val_loss: 1716.0393
Epoch 114/500
29/29 [==============================] - 0s 2ms/step - loss: 1745.3635 - val_loss: 1713.9272
Epoch 115/500
29/29 [==============================] - 0s 2ms/step - loss: 1743.4353 - val_loss: 1711.4180
Epoch 116/500
29/29 [==============================] - 0s 3ms/step - loss: 1741.2695 - val_loss: 1709.5382
Epoch 117/500
29/29 [==============================] - 0s 4ms/step - loss: 1739.4128 - val_loss: 1707.6775
Epoch 118/500
29/29 [==============================] - 0s 2ms/step - loss: 1737.4380 - val_loss: 1705.7711
Epoch 119/500
29/29 [==============================] - 0s 2ms/step - loss: 1734.7963 - val_loss: 1702.7876
Epoch 120/500
29/29 [==============================] - 0s 4ms/step - loss: 1731.0664 - val_loss: 1698.5366
Epoch 121/500
29/29 [==============================] - 0s 3ms/step - loss: 1725.3147 - val_loss: 1692.2522
Epoch 122/500
29/29 [==============================] - 0s 2ms/step - loss: 1717.5128 - val_loss: 1684.5260
Epoch 123/500
29/29 [==============================] - 0s 2ms/step - loss: 1709.0767 - val_loss: 1676.8354
Epoch 124/500
29/29 [==============================] - 0s 4ms/step - loss: 1701.2052 - val_loss: 1669.8688
Epoch 125/500
29/29 [==============================] - 0s 3ms/step - loss: 1694.4100 - val_loss: 1662.7384
Epoch 126/500
29/29 [==============================] - 0s 2ms/step - loss: 1686.6267 - val_loss: 1655.0662
Epoch 127/500
29/29 [==============================] - 0s 2ms/step - loss: 1677.4760 - val_loss: 1646.4994
Epoch 128/500
29/29 [==============================] - 0s 3ms/step - loss: 1668.7484 - val_loss: 1638.4324
Epoch 129/500
29/29 [==============================] - 0s 2ms/step - loss: 1660.4086 - val_loss: 1630.3793
Epoch 130/500
29/29 [==============================] - 0s 2ms/step - loss: 1652.6387 - val_loss: 1622.4008
Epoch 131/500
29/29 [==============================] - 0s 2ms/step - loss: 1642.5714 - val_loss: 1611.7515
Epoch 132/500
29/29 [==============================] - 0s 3ms/step - loss: 1629.0798 - val_loss: 1598.4976
Epoch 133/500
29/29 [==============================] - 0s 2ms/step - loss: 1615.5421 - val_loss: 1584.9127
Epoch 134/500
29/29 [==============================] - 0s 3ms/step - loss: 1600.7893 - val_loss: 1570.0669
Epoch 135/500
29/29 [==============================] - 0s 3ms/step - loss: 1582.0873 - val_loss: 1554.1825
Epoch 136/500
29/29 [==============================] - 0s 2ms/step - loss: 1567.4031 - val_loss: 1538.1730
Epoch 137/500
29/29 [==============================] - 0s 2ms/step - loss: 1552.0513 - val_loss: 1522.4550
Epoch 138/500
29/29 [==============================] - 0s 2ms/step - loss: 1535.4264 - val_loss: 1507.4875
Epoch 139/500
29/29 [==============================] - 0s 2ms/step - loss: 1517.4779 - val_loss: 1491.6130
Epoch 140/500
29/29 [==============================] - 0s 2ms/step - loss: 1501.2644 - val_loss: 1476.4060
Epoch 141/500
29/29 [==============================] - 0s 2ms/step - loss: 1485.8431 - val_loss: 1460.9258
Epoch 142/500
29/29 [==============================] - 0s 2ms/step - loss: 1469.5782 - val_loss: 1444.1627
Epoch 143/500
29/29 [==============================] - 0s 2ms/step - loss: 1455.4933 - val_loss: 1429.0653
Epoch 144/500
29/29 [==============================] - 0s 4ms/step - loss: 1437.0127 - val_loss: 1413.8208
Epoch 145/500
29/29 [==============================] - 0s 3ms/step - loss: 1421.1433 - val_loss: 1398.0269
Epoch 146/500
29/29 [==============================] - 0s 2ms/step - loss: 1407.6141 - val_loss: 1383.6075
Epoch 147/500
29/29 [==============================] - 0s 2ms/step - loss: 1390.9325 - val_loss: 1368.4253
Epoch 148/500
29/29 [==============================] - 0s 2ms/step - loss: 1375.2623 - val_loss: 1353.5170
Epoch 149/500
29/29 [==============================] - 0s 2ms/step - loss: 1360.0900 - val_loss: 1337.1599
Epoch 150/500
29/29 [==============================] - 0s 2ms/step - loss: 1344.9663 - val_loss: 1320.9363
Epoch 151/500
29/29 [==============================] - 0s 2ms/step - loss: 1327.2242 - val_loss: 1305.1357
Epoch 152/500
29/29 [==============================] - 0s 2ms/step - loss: 1310.1216 - val_loss: 1288.9071
Epoch 153/500
29/29 [==============================] - 0s 2ms/step - loss: 1294.6166 - val_loss: 1273.7291
Epoch 154/500
29/29 [==============================] - 0s 2ms/step - loss: 1278.4598 - val_loss: 1258.4890
Epoch 155/500
29/29 [==============================] - 0s 2ms/step - loss: 1262.6819 - val_loss: 1242.0441
Epoch 156/500
29/29 [==============================] - 0s 2ms/step - loss: 1246.6189 - val_loss: 1225.4219
Epoch 157/500
29/29 [==============================] - 0s 2ms/step - loss: 1230.1746 - val_loss: 1208.4790
Epoch 158/500
29/29 [==============================] - 0s 2ms/step - loss: 1212.5447 - val_loss: 1192.3003
Epoch 159/500
29/29 [==============================] - 0s 2ms/step - loss: 1196.1759 - val_loss: 1176.9370
Epoch 160/500
29/29 [==============================] - 0s 2ms/step - loss: 1179.9120 - val_loss: 1160.2031
Epoch 161/500
29/29 [==============================] - 0s 2ms/step - loss: 1164.4619 - val_loss: 1144.6621
Epoch 162/500
29/29 [==============================] - 0s 2ms/step - loss: 1148.1655 - val_loss: 1129.2639
Epoch 163/500
29/29 [==============================] - 0s 3ms/step - loss: 1133.6278 - val_loss: 1114.3267
Epoch 164/500
29/29 [==============================] - 0s 2ms/step - loss: 1118.4474 - val_loss: 1098.0393
Epoch 165/500
29/29 [==============================] - 0s 3ms/step - loss: 1102.2120 - val_loss: 1083.0747
Epoch 166/500
29/29 [==============================] - 0s 2ms/step - loss: 1088.1895 - val_loss: 1067.0830
Epoch 167/500
29/29 [==============================] - 0s 2ms/step - loss: 1069.8778 - val_loss: 1050.7681
Epoch 168/500
29/29 [==============================] - 0s 3ms/step - loss: 1053.2444 - val_loss: 1033.2523
Epoch 169/500
29/29 [==============================] - 0s 2ms/step - loss: 1033.2621 - val_loss: 1015.3852
Epoch 170/500
29/29 [==============================] - 0s 3ms/step - loss: 1015.8275 - val_loss: 997.7195
Epoch 171/500
29/29 [==============================] - 0s 2ms/step - loss: 997.4957 - val_loss: 979.5400
Epoch 172/500
29/29 [==============================] - 0s 3ms/step - loss: 977.9492 - val_loss: 959.9879
Epoch 173/500
29/29 [==============================] - 0s 2ms/step - loss: 956.3702 - val_loss: 938.1540
Epoch 174/500
29/29 [==============================] - 0s 2ms/step - loss: 929.5084 - val_loss: 909.9660
Epoch 175/500
29/29 [==============================] - 0s 4ms/step - loss: 897.3499 - val_loss: 873.9686
Epoch 176/500
29/29 [==============================] - 0s 2ms/step - loss: 862.7986 - val_loss: 844.4597
Epoch 177/500
29/29 [==============================] - 0s 2ms/step - loss: 835.1160 - val_loss: 820.5653
Epoch 178/500
29/29 [==============================] - 0s 2ms/step - loss: 812.3947 - val_loss: 797.8952
Epoch 179/500
29/29 [==============================] - 0s 2ms/step - loss: 789.2514 - val_loss: 775.9348
Epoch 180/500
29/29 [==============================] - 0s 2ms/step - loss: 768.7540 - val_loss: 756.5156
Epoch 181/500
29/29 [==============================] - 0s 2ms/step - loss: 749.5951 - val_loss: 736.2228
Epoch 182/500
29/29 [==============================] - 0s 2ms/step - loss: 728.2222 - val_loss: 717.8644
Epoch 183/500
29/29 [==============================] - 0s 3ms/step - loss: 710.2451 - val_loss: 698.8062
Epoch 184/500
29/29 [==============================] - 0s 2ms/step - loss: 691.8016 - val_loss: 681.6934
Epoch 185/500
29/29 [==============================] - 0s 2ms/step - loss: 674.2870 - val_loss: 663.2937
Epoch 186/500
29/29 [==============================] - 0s 2ms/step - loss: 657.3464 - val_loss: 646.8176
Epoch 187/500
29/29 [==============================] - 0s 2ms/step - loss: 640.8452 - val_loss: 629.5970
Epoch 188/500
29/29 [==============================] - 0s 2ms/step - loss: 623.9212 - val_loss: 613.5632
Epoch 189/500
29/29 [==============================] - 0s 2ms/step - loss: 607.4893 - val_loss: 598.3554
Epoch 190/500
29/29 [==============================] - 0s 2ms/step - loss: 592.0701 - val_loss: 582.2636
Epoch 191/500
29/29 [==============================] - 0s 2ms/step - loss: 577.7363 - val_loss: 567.7249
Epoch 192/500
29/29 [==============================] - 0s 2ms/step - loss: 563.1128 - val_loss: 553.2987
Epoch 193/500
29/29 [==============================] - 0s 2ms/step - loss: 548.8632 - val_loss: 538.4177
Epoch 194/500
29/29 [==============================] - 0s 2ms/step - loss: 534.3986 - val_loss: 525.4872
Epoch 195/500
29/29 [==============================] - 0s 2ms/step - loss: 520.3719 - val_loss: 510.5418
Epoch 196/500
29/29 [==============================] - 0s 2ms/step - loss: 505.9885 - val_loss: 496.7928
Epoch 197/500
29/29 [==============================] - 0s 3ms/step - loss: 492.3545 - val_loss: 483.9616
Epoch 198/500
29/29 [==============================] - 0s 2ms/step - loss: 479.3804 - val_loss: 470.9623
Epoch 199/500
29/29 [==============================] - 0s 2ms/step - loss: 466.9274 - val_loss: 459.0686
Epoch 200/500
29/29 [==============================] - 0s 2ms/step - loss: 455.4283 - val_loss: 446.1794
Epoch 201/500
29/29 [==============================] - 0s 2ms/step - loss: 442.8179 - val_loss: 434.1375
Epoch 202/500
29/29 [==============================] - 0s 2ms/step - loss: 431.2981 - val_loss: 423.0501
Epoch 203/500
29/29 [==============================] - 0s 2ms/step - loss: 419.4988 - val_loss: 411.7355
Epoch 204/500
29/29 [==============================] - 0s 4ms/step - loss: 408.2300 - val_loss: 400.5067
Epoch 205/500
29/29 [==============================] - 0s 4ms/step - loss: 397.8269 - val_loss: 389.3082
Epoch 206/500
29/29 [==============================] - 0s 4ms/step - loss: 387.2979 - val_loss: 379.2628
Epoch 207/500
29/29 [==============================] - 0s 4ms/step - loss: 376.3754 - val_loss: 369.2609
Epoch 208/500
29/29 [==============================] - 0s 4ms/step - loss: 366.4375 - val_loss: 359.0748
Epoch 209/500
29/29 [==============================] - 0s 2ms/step - loss: 356.2769 - val_loss: 349.3559
Epoch 210/500
29/29 [==============================] - 0s 2ms/step - loss: 346.7232 - val_loss: 339.8135
Epoch 211/500
29/29 [==============================] - 0s 3ms/step - loss: 337.3330 - val_loss: 330.4874
Epoch 212/500
29/29 [==============================] - 0s 2ms/step - loss: 327.9804 - val_loss: 321.4504
Epoch 213/500
29/29 [==============================] - 0s 2ms/step - loss: 318.9967 - val_loss: 311.8895
Epoch 214/500
29/29 [==============================] - 0s 2ms/step - loss: 309.9332 - val_loss: 303.7226
Epoch 215/500
29/29 [==============================] - 0s 2ms/step - loss: 301.2100 - val_loss: 295.6961
Epoch 216/500
29/29 [==============================] - 0s 3ms/step - loss: 292.7553 - val_loss: 286.4274
Epoch 217/500
29/29 [==============================] - 0s 2ms/step - loss: 284.3129 - val_loss: 278.0594
Epoch 218/500
29/29 [==============================] - 0s 2ms/step - loss: 276.0961 - val_loss: 270.2949
Epoch 219/500
29/29 [==============================] - 0s 2ms/step - loss: 268.2608 - val_loss: 262.3041
Epoch 220/500
29/29 [==============================] - 0s 2ms/step - loss: 260.6001 - val_loss: 254.2807
Epoch 221/500
29/29 [==============================] - 0s 2ms/step - loss: 252.7032 - val_loss: 247.3995
Epoch 222/500
29/29 [==============================] - 0s 3ms/step - loss: 245.5074 - val_loss: 239.8700
Epoch 223/500
29/29 [==============================] - 0s 3ms/step - loss: 237.2842 - val_loss: 232.0051
Epoch 224/500
29/29 [==============================] - 0s 2ms/step - loss: 229.8340 - val_loss: 225.0105
Epoch 225/500
29/29 [==============================] - 0s 3ms/step - loss: 222.4069 - val_loss: 218.0322
Epoch 226/500
29/29 [==============================] - 0s 2ms/step - loss: 214.2744 - val_loss: 209.5879
Epoch 227/500
29/29 [==============================] - 0s 3ms/step - loss: 206.5316 - val_loss: 201.1850
Epoch 228/500
29/29 [==============================] - 0s 2ms/step - loss: 197.4214 - val_loss: 192.3840
Epoch 229/500
29/29 [==============================] - 0s 2ms/step - loss: 189.2724 - val_loss: 185.6837
Epoch 230/500
29/29 [==============================] - 0s 2ms/step - loss: 182.6976 - val_loss: 179.7239
Epoch 231/500
29/29 [==============================] - 0s 2ms/step - loss: 176.9044 - val_loss: 173.9417
Epoch 232/500
29/29 [==============================] - 0s 2ms/step - loss: 171.3596 - val_loss: 168.3974
Epoch 233/500
29/29 [==============================] - 0s 2ms/step - loss: 165.9614 - val_loss: 163.0130
Epoch 234/500
29/29 [==============================] - 0s 3ms/step - loss: 160.6178 - val_loss: 157.8306
Epoch 235/500
29/29 [==============================] - 0s 3ms/step - loss: 155.3139 - val_loss: 152.7196
Epoch 236/500
29/29 [==============================] - 0s 5ms/step - loss: 149.9690 - val_loss: 147.6124
Epoch 237/500
29/29 [==============================] - 0s 2ms/step - loss: 144.9178 - val_loss: 142.7170
Epoch 238/500
29/29 [==============================] - 0s 2ms/step - loss: 139.9375 - val_loss: 138.5931
Epoch 239/500
29/29 [==============================] - 0s 3ms/step - loss: 135.3625 - val_loss: 133.4754
Epoch 240/500
29/29 [==============================] - 0s 3ms/step - loss: 130.4964 - val_loss: 129.1826
Epoch 241/500
29/29 [==============================] - 0s 2ms/step - loss: 126.7241 - val_loss: 124.8570
Epoch 242/500
29/29 [==============================] - 0s 2ms/step - loss: 121.7076 - val_loss: 120.7863
Epoch 243/500
29/29 [==============================] - 0s 2ms/step - loss: 117.7572 - val_loss: 116.5513
Epoch 244/500
29/29 [==============================] - 0s 2ms/step - loss: 113.9139 - val_loss: 112.9282
Epoch 245/500
29/29 [==============================] - 0s 2ms/step - loss: 109.7640 - val_loss: 109.1520
Epoch 246/500
29/29 [==============================] - 0s 2ms/step - loss: 106.1598 - val_loss: 106.0070
Epoch 247/500
29/29 [==============================] - 0s 2ms/step - loss: 102.5970 - val_loss: 102.4446
Epoch 248/500
29/29 [==============================] - 0s 3ms/step - loss: 99.0957 - val_loss: 99.3198
Epoch 249/500
29/29 [==============================] - 0s 2ms/step - loss: 95.7396 - val_loss: 95.8554
Epoch 250/500
29/29 [==============================] - 0s 2ms/step - loss: 92.5235 - val_loss: 92.9490
Epoch 251/500
29/29 [==============================] - 0s 2ms/step - loss: 89.5587 - val_loss: 89.8728
Epoch 252/500
29/29 [==============================] - 0s 3ms/step - loss: 86.9984 - val_loss: 88.0200
Epoch 253/500
29/29 [==============================] - 0s 2ms/step - loss: 83.7058 - val_loss: 84.3058
Epoch 254/500
29/29 [==============================] - 0s 2ms/step - loss: 80.9382 - val_loss: 81.8995
Epoch 255/500
29/29 [==============================] - 0s 2ms/step - loss: 78.3834 - val_loss: 79.8660
Epoch 256/500
29/29 [==============================] - 0s 2ms/step - loss: 75.8885 - val_loss: 77.0440
Epoch 257/500
29/29 [==============================] - 0s 2ms/step - loss: 73.3612 - val_loss: 74.7969
Epoch 258/500
29/29 [==============================] - 0s 3ms/step - loss: 70.9719 - val_loss: 72.6047
Epoch 259/500
29/29 [==============================] - 0s 2ms/step - loss: 68.8202 - val_loss: 70.2771
Epoch 260/500
29/29 [==============================] - 0s 4ms/step - loss: 66.6622 - val_loss: 69.3790
Epoch 261/500
29/29 [==============================] - 0s 2ms/step - loss: 64.8795 - val_loss: 66.6427
Epoch 262/500
29/29 [==============================] - 0s 2ms/step - loss: 62.4689 - val_loss: 64.3824
Epoch 263/500
29/29 [==============================] - 0s 2ms/step - loss: 60.6229 - val_loss: 63.1815
Epoch 264/500
29/29 [==============================] - 0s 3ms/step - loss: 58.8006 - val_loss: 61.1798
Epoch 265/500
29/29 [==============================] - 0s 3ms/step - loss: 56.9178 - val_loss: 59.5001
Epoch 266/500
29/29 [==============================] - 0s 2ms/step - loss: 55.4874 - val_loss: 57.4325
Epoch 267/500
29/29 [==============================] - 0s 3ms/step - loss: 53.5771 - val_loss: 56.4238
Epoch 268/500
29/29 [==============================] - 0s 2ms/step - loss: 52.1811 - val_loss: 54.6286
Epoch 269/500
29/29 [==============================] - 0s 2ms/step - loss: 50.4366 - val_loss: 53.4309
Epoch 270/500
29/29 [==============================] - 0s 3ms/step - loss: 49.0400 - val_loss: 51.7556
Epoch 271/500
29/29 [==============================] - 0s 2ms/step - loss: 47.8952 - val_loss: 50.5240
Epoch 272/500
29/29 [==============================] - 0s 2ms/step - loss: 46.4636 - val_loss: 49.5389
Epoch 273/500
29/29 [==============================] - 0s 3ms/step - loss: 45.1600 - val_loss: 48.2873
Epoch 274/500
29/29 [==============================] - 0s 2ms/step - loss: 44.0218 - val_loss: 46.8798
Epoch 275/500
29/29 [==============================] - 0s 3ms/step - loss: 42.9171 - val_loss: 46.5172
Epoch 276/500
29/29 [==============================] - 0s 3ms/step - loss: 41.7550 - val_loss: 44.8786
Epoch 277/500
29/29 [==============================] - 0s 2ms/step - loss: 40.7120 - val_loss: 43.9165
Epoch 278/500
29/29 [==============================] - 0s 3ms/step - loss: 40.1034 - val_loss: 42.5739
Epoch 279/500
29/29 [==============================] - 0s 2ms/step - loss: 38.8964 - val_loss: 41.9169
Epoch 280/500
29/29 [==============================] - 0s 2ms/step - loss: 37.7790 - val_loss: 41.2649
Epoch 281/500
29/29 [==============================] - 0s 2ms/step - loss: 36.9702 - val_loss: 40.3248
Epoch 282/500
29/29 [==============================] - 0s 2ms/step - loss: 36.2205 - val_loss: 40.1813
Epoch 283/500
29/29 [==============================] - 0s 2ms/step - loss: 35.5169 - val_loss: 38.6639
Epoch 284/500
29/29 [==============================] - 0s 2ms/step - loss: 34.8417 - val_loss: 38.4395
Epoch 285/500
29/29 [==============================] - 0s 2ms/step - loss: 34.0040 - val_loss: 38.1615
Epoch 286/500
29/29 [==============================] - 0s 7ms/step - loss: 33.3305 - val_loss: 36.8369
Epoch 287/500
29/29 [==============================] - 0s 3ms/step - loss: 32.9873 - val_loss: 35.8947
Epoch 288/500
29/29 [==============================] - 0s 2ms/step - loss: 32.0303 - val_loss: 36.2543
Epoch 289/500
29/29 [==============================] - 0s 2ms/step - loss: 31.5536 - val_loss: 34.7088
Epoch 290/500
29/29 [==============================] - 0s 2ms/step - loss: 30.9219 - val_loss: 34.4008
Epoch 291/500
29/29 [==============================] - 0s 7ms/step - loss: 30.3343 - val_loss: 33.9961
Epoch 292/500
29/29 [==============================] - 0s 2ms/step - loss: 29.8981 - val_loss: 33.9499
Epoch 293/500
29/29 [==============================] - 0s 2ms/step - loss: 29.4028 - val_loss: 32.8363
Epoch 294/500
29/29 [==============================] - 0s 2ms/step - loss: 28.9510 - val_loss: 32.9310
Epoch 295/500
29/29 [==============================] - 0s 2ms/step - loss: 28.9073 - val_loss: 32.0103
Epoch 296/500
29/29 [==============================] - 0s 2ms/step - loss: 28.1350 - val_loss: 32.2752
Epoch 297/500
29/29 [==============================] - 0s 2ms/step - loss: 27.7424 - val_loss: 31.1460
Epoch 298/500
29/29 [==============================] - 0s 2ms/step - loss: 27.4446 - val_loss: 31.0106
Epoch 299/500
29/29 [==============================] - 0s 2ms/step - loss: 27.2320 - val_loss: 32.1938
Epoch 300/500
29/29 [==============================] - 0s 2ms/step - loss: 26.7615 - val_loss: 29.8994
Epoch 301/500
29/29 [==============================] - 0s 2ms/step - loss: 26.3512 - val_loss: 30.1272
Epoch 302/500
29/29 [==============================] - 0s 2ms/step - loss: 26.2464 - val_loss: 29.4964
Epoch 303/500
29/29 [==============================] - 0s 2ms/step - loss: 25.9687 - val_loss: 29.3302
Epoch 304/500
29/29 [==============================] - 0s 2ms/step - loss: 25.4804 - val_loss: 28.9992
Epoch 305/500
29/29 [==============================] - 0s 2ms/step - loss: 25.4589 - val_loss: 29.0988
Epoch 306/500
29/29 [==============================] - 0s 5ms/step - loss: 24.9502 - val_loss: 28.2630
Epoch 307/500
29/29 [==============================] - 0s 4ms/step - loss: 24.9052 - val_loss: 27.7227
Epoch 308/500
29/29 [==============================] - 0s 7ms/step - loss: 24.5281 - val_loss: 27.7360
Epoch 309/500
29/29 [==============================] - 0s 4ms/step - loss: 24.3257 - val_loss: 28.2438
Epoch 310/500
29/29 [==============================] - 0s 6ms/step - loss: 24.1257 - val_loss: 26.7050
Epoch 311/500
29/29 [==============================] - 0s 4ms/step - loss: 24.1979 - val_loss: 27.2153
Epoch 312/500
29/29 [==============================] - 0s 4ms/step - loss: 23.7585 - val_loss: 27.3339
Epoch 313/500
29/29 [==============================] - 0s 6ms/step - loss: 23.7698 - val_loss: 27.2670
Epoch 314/500
29/29 [==============================] - 0s 4ms/step - loss: 23.1732 - val_loss: 25.7103
Epoch 315/500
29/29 [==============================] - 0s 4ms/step - loss: 23.3140 - val_loss: 25.8232
Epoch 316/500
29/29 [==============================] - 0s 4ms/step - loss: 23.0775 - val_loss: 25.2592
Epoch 317/500
29/29 [==============================] - 0s 4ms/step - loss: 22.7071 - val_loss: 25.8461
Epoch 318/500
29/29 [==============================] - 0s 3ms/step - loss: 22.4633 - val_loss: 24.8301
Epoch 319/500
29/29 [==============================] - 0s 3ms/step - loss: 22.4577 - val_loss: 26.0763
Epoch 320/500
29/29 [==============================] - 0s 4ms/step - loss: 22.1981 - val_loss: 24.1142
Epoch 321/500
29/29 [==============================] - 0s 4ms/step - loss: 21.7789 - val_loss: 24.1620
Epoch 322/500
29/29 [==============================] - 0s 4ms/step - loss: 21.7085 - val_loss: 24.3069
Epoch 323/500
29/29 [==============================] - 0s 4ms/step - loss: 21.5284 - val_loss: 23.1795
Epoch 324/500
29/29 [==============================] - 0s 3ms/step - loss: 21.1747 - val_loss: 23.6414
Epoch 325/500
29/29 [==============================] - 0s 2ms/step - loss: 21.3441 - val_loss: 23.1753
Epoch 326/500
29/29 [==============================] - 0s 2ms/step - loss: 21.1293 - val_loss: 22.3009
Epoch 327/500
29/29 [==============================] - 0s 2ms/step - loss: 20.7270 - val_loss: 21.6318
Epoch 328/500
29/29 [==============================] - 0s 2ms/step - loss: 20.4764 - val_loss: 21.8243
Epoch 329/500
29/29 [==============================] - 0s 3ms/step - loss: 20.5720 - val_loss: 21.2826
Epoch 330/500
29/29 [==============================] - 0s 2ms/step - loss: 20.2052 - val_loss: 21.6065
Epoch 331/500
29/29 [==============================] - 0s 3ms/step - loss: 20.0771 - val_loss: 21.2234
Epoch 332/500
29/29 [==============================] - 0s 2ms/step - loss: 19.7970 - val_loss: 20.6245
Epoch 333/500
29/29 [==============================] - 0s 3ms/step - loss: 20.0007 - val_loss: 21.0025
Epoch 334/500
29/29 [==============================] - 0s 3ms/step - loss: 19.5937 - val_loss: 19.9881
Epoch 335/500
29/29 [==============================] - 0s 4ms/step - loss: 19.8549 - val_loss: 19.6277
Epoch 336/500
29/29 [==============================] - 0s 2ms/step - loss: 19.5271 - val_loss: 19.7998
Epoch 337/500
29/29 [==============================] - 0s 2ms/step - loss: 19.4063 - val_loss: 19.7119
Epoch 338/500
29/29 [==============================] - 0s 3ms/step - loss: 19.3338 - val_loss: 19.2921
Epoch 339/500
29/29 [==============================] - 0s 3ms/step - loss: 19.1499 - val_loss: 19.7399
Epoch 340/500
29/29 [==============================] - 0s 2ms/step - loss: 19.0512 - val_loss: 19.5843
Epoch 341/500
29/29 [==============================] - 0s 2ms/step - loss: 18.7326 - val_loss: 18.8262
Epoch 342/500
29/29 [==============================] - 0s 2ms/step - loss: 18.8504 - val_loss: 19.2446
Epoch 343/500
29/29 [==============================] - 0s 2ms/step - loss: 18.9409 - val_loss: 19.1643
Epoch 344/500
29/29 [==============================] - 0s 2ms/step - loss: 18.7218 - val_loss: 18.7693
Epoch 345/500
29/29 [==============================] - 0s 3ms/step - loss: 18.6079 - val_loss: 18.3549
Epoch 346/500
29/29 [==============================] - 0s 2ms/step - loss: 18.6042 - val_loss: 19.6443
Epoch 347/500
29/29 [==============================] - 0s 2ms/step - loss: 18.5503 - val_loss: 18.5476
Epoch 348/500
29/29 [==============================] - 0s 2ms/step - loss: 18.3072 - val_loss: 17.9630
Epoch 349/500
29/29 [==============================] - 0s 2ms/step - loss: 18.3309 - val_loss: 17.9908
Epoch 350/500
29/29 [==============================] - 0s 2ms/step - loss: 18.2846 - val_loss: 17.6810
Epoch 351/500
29/29 [==============================] - 0s 2ms/step - loss: 18.3380 - val_loss: 18.4419
Epoch 352/500
29/29 [==============================] - 0s 2ms/step - loss: 18.2896 - val_loss: 17.9577
Epoch 353/500
29/29 [==============================] - 0s 2ms/step - loss: 18.3687 - val_loss: 17.5658
Epoch 354/500
29/29 [==============================] - 0s 2ms/step - loss: 18.4522 - val_loss: 17.4552
Epoch 355/500
29/29 [==============================] - 0s 2ms/step - loss: 18.1357 - val_loss: 18.2279
Epoch 356/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0366 - val_loss: 17.8920
Epoch 357/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0421 - val_loss: 17.4276
Epoch 358/500
29/29 [==============================] - 0s 2ms/step - loss: 17.8680 - val_loss: 17.8865
Epoch 359/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9331 - val_loss: 16.8629
Epoch 360/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7304 - val_loss: 18.3906
Epoch 361/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7753 - val_loss: 16.5020
Epoch 362/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7024 - val_loss: 17.5854
Epoch 363/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9170 - val_loss: 17.7538
Epoch 364/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7524 - val_loss: 16.9705
Epoch 365/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6510 - val_loss: 17.1079
Epoch 366/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7003 - val_loss: 16.5393
Epoch 367/500
29/29 [==============================] - 0s 3ms/step - loss: 17.6343 - val_loss: 16.6822
Epoch 368/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6605 - val_loss: 16.6947
Epoch 369/500
29/29 [==============================] - 0s 5ms/step - loss: 17.6048 - val_loss: 17.5763
Epoch 370/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7545 - val_loss: 16.8018
Epoch 371/500
29/29 [==============================] - 0s 3ms/step - loss: 17.6948 - val_loss: 16.2342
Epoch 372/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4354 - val_loss: 16.9616
Epoch 373/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5444 - val_loss: 16.4600
Epoch 374/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6347 - val_loss: 16.4620
Epoch 375/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4871 - val_loss: 16.4025
Epoch 376/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3696 - val_loss: 17.5518
Epoch 377/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6101 - val_loss: 16.0497
Epoch 378/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6073 - val_loss: 15.9873
Epoch 379/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4590 - val_loss: 16.2209
Epoch 380/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3350 - val_loss: 15.9972
Epoch 381/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5446 - val_loss: 15.9320
Epoch 382/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4048 - val_loss: 16.6430
Epoch 383/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2936 - val_loss: 16.2030
Epoch 384/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9629 - val_loss: 17.3476
Epoch 385/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2276 - val_loss: 15.9656
Epoch 386/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2936 - val_loss: 16.0994
Epoch 387/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3782 - val_loss: 16.7821
Epoch 388/500
29/29 [==============================] - 0s 3ms/step - loss: 17.6559 - val_loss: 16.2563
Epoch 389/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4486 - val_loss: 15.9531
Epoch 390/500
29/29 [==============================] - 0s 3ms/step - loss: 17.9240 - val_loss: 15.7041
Epoch 391/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4867 - val_loss: 15.8546
Epoch 392/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4451 - val_loss: 16.1101
Epoch 393/500
29/29 [==============================] - 0s 5ms/step - loss: 17.3489 - val_loss: 17.0345
Epoch 394/500
29/29 [==============================] - 0s 4ms/step - loss: 18.1129 - val_loss: 16.7498
Epoch 395/500
29/29 [==============================] - 0s 3ms/step - loss: 18.5103 - val_loss: 16.0572
Epoch 396/500
29/29 [==============================] - 0s 3ms/step - loss: 18.1696 - val_loss: 15.7522
Epoch 397/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4035 - val_loss: 15.6062
Epoch 398/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2868 - val_loss: 15.8679
Epoch 399/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3291 - val_loss: 16.3334
Epoch 400/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2615 - val_loss: 16.1871
Epoch 401/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2278 - val_loss: 15.5399
Epoch 402/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2846 - val_loss: 16.4765
Epoch 403/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2983 - val_loss: 16.3038
Epoch 404/500
29/29 [==============================] - 0s 3ms/step - loss: 16.9302 - val_loss: 15.9725
Epoch 405/500
29/29 [==============================] - 0s 3ms/step - loss: 18.0629 - val_loss: 15.9972
Epoch 406/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4973 - val_loss: 16.1214
Epoch 407/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5313 - val_loss: 17.3211
Epoch 408/500
29/29 [==============================] - 0s 3ms/step - loss: 17.7131 - val_loss: 15.9073
Epoch 409/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3291 - val_loss: 15.4743
Epoch 410/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4467 - val_loss: 15.5484
Epoch 411/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3202 - val_loss: 15.8903
Epoch 412/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1595 - val_loss: 15.6554
Epoch 413/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1117 - val_loss: 16.1301
Epoch 414/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2631 - val_loss: 15.5779
Epoch 415/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3111 - val_loss: 15.4156
Epoch 416/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4179 - val_loss: 15.8058
Epoch 417/500
29/29 [==============================] - 0s 4ms/step - loss: 17.2605 - val_loss: 15.3237
Epoch 418/500
29/29 [==============================] - 0s 6ms/step - loss: 17.2430 - val_loss: 16.2999
Epoch 419/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5667 - val_loss: 18.1686
Epoch 420/500
29/29 [==============================] - 0s 3ms/step - loss: 17.9774 - val_loss: 16.7789
Epoch 421/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4473 - val_loss: 16.7309
Epoch 422/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0136 - val_loss: 15.7287
Epoch 423/500
29/29 [==============================] - 0s 3ms/step - loss: 17.5863 - val_loss: 16.1435
Epoch 424/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2882 - val_loss: 15.5544
Epoch 425/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2484 - val_loss: 15.5723
Epoch 426/500
29/29 [==============================] - 0s 4ms/step - loss: 17.4304 - val_loss: 18.5156
Epoch 427/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5991 - val_loss: 16.0786
Epoch 428/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3372 - val_loss: 15.8155
Epoch 429/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6427 - val_loss: 15.4545
Epoch 430/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3985 - val_loss: 15.6874
Epoch 431/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1345 - val_loss: 15.3972
Epoch 432/500
29/29 [==============================] - 0s 3ms/step - loss: 17.8200 - val_loss: 16.1709
Epoch 433/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1297 - val_loss: 15.6811
Epoch 434/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3233 - val_loss: 15.4998
Epoch 435/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1094 - val_loss: 16.2517
Epoch 436/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5437 - val_loss: 16.2050
Epoch 437/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2591 - val_loss: 15.9590
Epoch 438/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2212 - val_loss: 15.5410
Epoch 439/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2721 - val_loss: 15.8240
Epoch 440/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1922 - val_loss: 17.0352
Epoch 441/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1711 - val_loss: 15.6357
Epoch 442/500
29/29 [==============================] - 0s 4ms/step - loss: 17.1831 - val_loss: 15.7411
Epoch 443/500
29/29 [==============================] - 0s 5ms/step - loss: 17.2266 - val_loss: 15.9084
Epoch 444/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2804 - val_loss: 15.6089
Epoch 445/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3326 - val_loss: 15.4762
Epoch 446/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2414 - val_loss: 15.8692
Epoch 447/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2026 - val_loss: 16.2204
Epoch 448/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2300 - val_loss: 15.3879
Epoch 449/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2200 - val_loss: 15.6565
Epoch 450/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2036 - val_loss: 16.0126
Epoch 451/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9856 - val_loss: 15.4690
Epoch 452/500
29/29 [==============================] - 0s 2ms/step - loss: 17.8650 - val_loss: 15.4875
Epoch 453/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2172 - val_loss: 16.5447
Epoch 454/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2727 - val_loss: 16.8170
Epoch 455/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3251 - val_loss: 15.4216
Epoch 456/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1325 - val_loss: 15.8087
Epoch 457/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1508 - val_loss: 16.3017
Epoch 458/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9997 - val_loss: 15.5881
Epoch 459/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3714 - val_loss: 17.0101
Epoch 460/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3533 - val_loss: 16.3361
Epoch 461/500
29/29 [==============================] - 0s 3ms/step - loss: 17.0323 - val_loss: 15.3594
Epoch 462/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2115 - val_loss: 15.8772
Epoch 463/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4064 - val_loss: 15.3917
Epoch 464/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0119 - val_loss: 16.1042
Epoch 465/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2307 - val_loss: 15.9755
Epoch 466/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0892 - val_loss: 15.8363
Epoch 467/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3941 - val_loss: 15.5536
Epoch 468/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0763 - val_loss: 15.4789
Epoch 469/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0458 - val_loss: 15.5923
Epoch 470/500
29/29 [==============================] - 0s 4ms/step - loss: 17.2173 - val_loss: 16.3504
Epoch 471/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6546 - val_loss: 17.2196
Epoch 472/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3911 - val_loss: 15.6536
Epoch 473/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1604 - val_loss: 16.0392
Epoch 474/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1163 - val_loss: 15.5531
Epoch 475/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4901 - val_loss: 15.5262
Epoch 476/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2170 - val_loss: 15.3123
Epoch 477/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0364 - val_loss: 16.1331
Epoch 478/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1084 - val_loss: 15.4587
Epoch 479/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2919 - val_loss: 15.7626
Epoch 480/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1473 - val_loss: 15.6765
Epoch 481/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1662 - val_loss: 15.5966
Epoch 482/500
29/29 [==============================] - 0s 8ms/step - loss: 17.2418 - val_loss: 15.4315
Epoch 483/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3617 - val_loss: 15.3369
Epoch 484/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2057 - val_loss: 15.6787
Epoch 485/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1471 - val_loss: 15.6259
Epoch 486/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3358 - val_loss: 15.5299
Epoch 487/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1452 - val_loss: 15.4128
Epoch 488/500
29/29 [==============================] - 0s 3ms/step - loss: 17.0926 - val_loss: 15.9610
Epoch 489/500
29/29 [==============================] - 0s 3ms/step - loss: 17.7039 - val_loss: 17.4872
Epoch 490/500
29/29 [==============================] - 0s 4ms/step - loss: 17.3842 - val_loss: 15.6698
Epoch 491/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9964 - val_loss: 15.5415
Epoch 492/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9765 - val_loss: 16.8515
Epoch 493/500
29/29 [==============================] - 0s 3ms/step - loss: 17.4233 - val_loss: 16.5657
Epoch 494/50s0
29/29 [==============================] - 0s 5ms/step - loss: 17.1055 - val_loss: 15.5263
Epoch 495/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0002 - val_loss: 15.8715
Epoch 496/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1516 - val_loss: 15.9868
Epoch 497/500
29/29 [==============================] - 0s 5ms/step - loss: 17.1033 - val_loss: 15.7123
Epoch 498/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9916 - val_loss: 15.7983
Epoch 499/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1141 - val_loss: 15.7787
Epoch 500/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5874 - val_loss: 16.1258
```
---
### Code output for second neural network model.
```python
history2=model2.fit(X_train, y_train, validation_split=0.2,epochs=500, batch_size=10) #verbose=0
Epoch 1/500
29/29 [==============================] - 0s 8ms/step - loss: 3957.2795 - val_loss: 3869.7856
Epoch 2/500
29/29 [==============================] - 0s 3ms/step - loss: 3745.3003 - val_loss: 3663.5308
Epoch 3/500
29/29 [==============================] - 0s 2ms/step - loss: 3561.5083 - val_loss: 3500.2002
Epoch 4/500
29/29 [==============================] - 0s 4ms/step - loss: 3419.5115 - val_loss: 3376.7346
Epoch 5/500
29/29 [==============================] - 0s 4ms/step - loss: 3309.5000 - val_loss: 3276.3057
Epoch 6/500
29/29 [==============================] - 0s 2ms/step - loss: 3216.1191 - val_loss: 3182.3816
Epoch 7/500
29/29 [==============================] - 0s 2ms/step - loss: 3129.2727 - val_loss: 3097.1606
Epoch 8/500
29/29 [==============================] - 0s 4ms/step - loss: 3045.6055 - val_loss: 3014.9116
Epoch 9/500
29/29 [==============================] - 0s 5ms/step - loss: 2968.6514 - val_loss: 2938.1182
Epoch 10/500
29/29 [==============================] - 0s 4ms/step - loss: 2895.9839 - val_loss: 2869.6345
Epoch 11/500
29/29 [==============================] - 0s 3ms/step - loss: 2830.8574 - val_loss: 2804.6897
Epoch 12/500
29/29 [==============================] - 0s 2ms/step - loss: 2768.5120 - val_loss: 2742.3899
Epoch 13/500
29/29 [==============================] - 0s 2ms/step - loss: 2710.1868 - val_loss: 2680.1079
Epoch 14/500
29/29 [==============================] - 0s 3ms/step - loss: 2651.1794 - val_loss: 2629.0312
Epoch 15/500
29/29 [==============================] - 0s 4ms/step - loss: 2599.3625 - val_loss: 2576.3174
Epoch 16/500
29/29 [==============================] - 0s 4ms/step - loss: 2549.2158 - val_loss: 2523.5322
Epoch 17/500
29/29 [==============================] - 0s 3ms/step - loss: 2500.2527 - val_loss: 2471.7634
Epoch 18/500
29/29 [==============================] - 0s 4ms/step - loss: 2452.4224 - val_loss: 2427.8342
Epoch 19/500
29/29 [==============================] - 0s 4ms/step - loss: 2408.1997 - val_loss: 2382.8474
Epoch 20/500
29/29 [==============================] - 0s 2ms/step - loss: 2365.3552 - val_loss: 2338.1882
Epoch 21/500
29/29 [==============================] - 0s 2ms/step - loss: 2322.6897 - val_loss: 2296.1030
Epoch 22/500
29/29 [==============================] - 0s 2ms/step - loss: 2279.9922 - val_loss: 2252.7991
Epoch 23/500
29/29 [==============================] - 0s 2ms/step - loss: 2235.9780 - val_loss: 2206.8330
Epoch 24/500
29/29 [==============================] - 0s 3ms/step - loss: 2189.1389 - val_loss: 2159.9934
Epoch 25/500
29/29 [==============================] - 0s 2ms/step - loss: 2142.4275 - val_loss: 2111.8489
Epoch 26/500
29/29 [==============================] - 0s 3ms/step - loss: 2094.8884 - val_loss: 2062.8643
Epoch 27/500
29/29 [==============================] - 0s 3ms/step - loss: 2044.6211 - val_loss: 2015.0315
Epoch 28/500
29/29 [==============================] - 0s 2ms/step - loss: 1994.7777 - val_loss: 1961.9852
Epoch 29/500
29/29 [==============================] - 0s 2ms/step - loss: 1939.8728 - val_loss: 1909.0547
Epoch 30/500
29/29 [==============================] - 0s 2ms/step - loss: 1885.8391 - val_loss: 1854.2823
Epoch 31/500
29/29 [==============================] - 0s 2ms/step - loss: 1830.4056 - val_loss: 1801.0699
Epoch 32/500
29/29 [==============================] - 0s 2ms/step - loss: 1777.6350 - val_loss: 1748.7272
Epoch 33/500
29/29 [==============================] - 0s 3ms/step - loss: 1725.5609 - val_loss: 1697.9503
Epoch 34/500
29/29 [==============================] - 0s 2ms/step - loss: 1673.5308 - val_loss: 1646.5767
Epoch 35/500
29/29 [==============================] - 0s 2ms/step - loss: 1622.6244 - val_loss: 1599.5906
Epoch 36/500
29/29 [==============================] - 0s 2ms/step - loss: 1573.2693 - val_loss: 1551.4532
Epoch 37/500
29/29 [==============================] - 0s 2ms/step - loss: 1527.3810 - val_loss: 1507.1648
Epoch 38/500
29/29 [==============================] - 0s 2ms/step - loss: 1480.6404 - val_loss: 1460.7922
Epoch 39/500
29/29 [==============================] - 0s 3ms/step - loss: 1435.0953 - val_loss: 1417.8333
Epoch 40/500
29/29 [==============================] - 0s 2ms/step - loss: 1388.5846 - val_loss: 1373.4033
Epoch 41/500
29/29 [==============================] - 0s 2ms/step - loss: 1345.8817 - val_loss: 1329.8472
Epoch 42/500
29/29 [==============================] - 0s 2ms/step - loss: 1302.5999 - val_loss: 1290.0710
Epoch 43/500
29/29 [==============================] - 0s 2ms/step - loss: 1260.8357 - val_loss: 1249.2676
Epoch 44/500
29/29 [==============================] - 0s 2ms/step - loss: 1220.1545 - val_loss: 1211.2794
Epoch 45/500
29/29 [==============================] - 0s 2ms/step - loss: 1180.7462 - val_loss: 1171.2671
Epoch 46/500
29/29 [==============================] - 0s 2ms/step - loss: 1143.1738 - val_loss: 1140.9204
Epoch 47/500
29/29 [==============================] - 0s 3ms/step - loss: 1107.4646 - val_loss: 1097.8967
Epoch 48/500
29/29 [==============================] - 0s 5ms/step - loss: 1072.3308 - val_loss: 1062.6713
Epoch 49/500
29/29 [==============================] - 0s 2ms/step - loss: 1035.1833 - val_loss: 1028.7529
Epoch 50/500
29/29 [==============================] - 0s 2ms/step - loss: 1001.5916 - val_loss: 997.7836
Epoch 51/500
29/29 [==============================] - 0s 2ms/step - loss: 969.1013 - val_loss: 964.8207
Epoch 52/500
29/29 [==============================] - 0s 2ms/step - loss: 937.6204 - val_loss: 933.4583
Epoch 53/500
29/29 [==============================] - 0s 2ms/step - loss: 906.6448 - val_loss: 903.6869
Epoch 54/500
29/29 [==============================] - 0s 2ms/step - loss: 877.8389 - val_loss: 874.0439
Epoch 55/500
29/29 [==============================] - 0s 2ms/step - loss: 847.3535 - val_loss: 845.4948
Epoch 56/500
29/29 [==============================] - 0s 2ms/step - loss: 819.1816 - val_loss: 815.7767
Epoch 57/500
29/29 [==============================] - 0s 2ms/step - loss: 790.9989 - val_loss: 790.8523
Epoch 58/500
29/29 [==============================] - 0s 2ms/step - loss: 764.6915 - val_loss: 762.0907
Epoch 59/500
29/29 [==============================] - 0s 2ms/step - loss: 738.6727 - val_loss: 737.2264
Epoch 60/500
29/29 [==============================] - 0s 2ms/step - loss: 713.2637 - val_loss: 712.0875
Epoch 61/500
29/29 [==============================] - 0s 2ms/step - loss: 689.8245 - val_loss: 688.9070
Epoch 62/500
29/29 [==============================] - 0s 2ms/step - loss: 665.9570 - val_loss: 665.8305
Epoch 63/500
29/29 [==============================] - 0s 2ms/step - loss: 645.9675 - val_loss: 640.3749
Epoch 64/500
29/29 [==============================] - 0s 2ms/step - loss: 621.0844 - val_loss: 618.2353
Epoch 65/500
29/29 [==============================] - 0s 2ms/step - loss: 598.9902 - val_loss: 596.4866
Epoch 66/500
29/29 [==============================] - 0s 2ms/step - loss: 577.9987 - val_loss: 575.1021
Epoch 67/500
29/29 [==============================] - 0s 2ms/step - loss: 557.7603 - val_loss: 555.6960
Epoch 68/500
29/29 [==============================] - 0s 2ms/step - loss: 537.4581 - val_loss: 536.7032
Epoch 69/500
29/29 [==============================] - 0s 2ms/step - loss: 518.6594 - val_loss: 516.3747
Epoch 70/500
29/29 [==============================] - 0s 2ms/step - loss: 500.5205 - val_loss: 498.3367
Epoch 71/500
29/29 [==============================] - 0s 2ms/step - loss: 481.4522 - val_loss: 480.6384
Epoch 72/500
29/29 [==============================] - 0s 3ms/step - loss: 464.5410 - val_loss: 463.2155
Epoch 73/500
29/29 [==============================] - 0s 2ms/step - loss: 447.2036 - val_loss: 445.9507
Epoch 74/500
29/29 [==============================] - 0s 2ms/step - loss: 430.3366 - val_loss: 430.2385
Epoch 75/500
29/29 [==============================] - 0s 3ms/step - loss: 415.1543 - val_loss: 414.3209
Epoch 76/500
29/29 [==============================] - 0s 3ms/step - loss: 399.8000 - val_loss: 399.0041
Epoch 77/500
29/29 [==============================] - 0s 3ms/step - loss: 384.4543 - val_loss: 383.9161
Epoch 78/500
29/29 [==============================] - 0s 3ms/step - loss: 369.7420 - val_loss: 369.4669
Epoch 79/500
29/29 [==============================] - 0s 6ms/step - loss: 356.3974 - val_loss: 354.9423
Epoch 80/500
29/29 [==============================] - 0s 2ms/step - loss: 341.9009 - val_loss: 341.8399
Epoch 81/500
29/29 [==============================] - 0s 3ms/step - loss: 330.1394 - val_loss: 328.8969
Epoch 82/500
29/29 [==============================] - 0s 2ms/step - loss: 316.5490 - val_loss: 316.7123
Epoch 83/500
29/29 [==============================] - 0s 2ms/step - loss: 304.7410 - val_loss: 304.3406
Epoch 84/500
29/29 [==============================] - 0s 2ms/step - loss: 291.2096 - val_loss: 293.4204
Epoch 85/500
29/29 [==============================] - 0s 2ms/step - loss: 280.5699 - val_loss: 279.2851
Epoch 86/500
29/29 [==============================] - 0s 2ms/step - loss: 266.2834 - val_loss: 266.0483
Epoch 87/500
29/29 [==============================] - 0s 2ms/step - loss: 253.5889 - val_loss: 253.4231
Epoch 88/500
29/29 [==============================] - 0s 2ms/step - loss: 241.1537 - val_loss: 241.7815
Epoch 89/500
29/29 [==============================] - 0s 2ms/step - loss: 230.1014 - val_loss: 230.9067
Epoch 90/500
29/29 [==============================] - 0s 2ms/step - loss: 219.8200 - val_loss: 220.7992
Epoch 91/500
29/29 [==============================] - 0s 2ms/step - loss: 209.5032 - val_loss: 210.9258
Epoch 92/500
29/29 [==============================] - 0s 2ms/step - loss: 199.8992 - val_loss: 201.7816
Epoch 93/500
29/29 [==============================] - 0s 2ms/step - loss: 191.1111 - val_loss: 194.1858
Epoch 94/500
29/29 [==============================] - 0s 2ms/step - loss: 182.3994 - val_loss: 184.5560
Epoch 95/500
29/29 [==============================] - 0s 2ms/step - loss: 173.8119 - val_loss: 176.4140
Epoch 96/500
29/29 [==============================] - 0s 3ms/step - loss: 165.4293 - val_loss: 166.5457
Epoch 97/500
29/29 [==============================] - 0s 4ms/step - loss: 155.4021 - val_loss: 157.5479
Epoch 98/500
29/29 [==============================] - 0s 3ms/step - loss: 147.3339 - val_loss: 149.1222
Epoch 99/500
29/29 [==============================] - 0s 2ms/step - loss: 139.0100 - val_loss: 141.9202
Epoch 100/500
29/29 [==============================] - 0s 2ms/step - loss: 131.8448 - val_loss: 135.2082
Epoch 101/500
29/29 [==============================] - 0s 2ms/step - loss: 125.1143 - val_loss: 128.8988
Epoch 102/500
29/29 [==============================] - 0s 2ms/step - loss: 118.8487 - val_loss: 122.7892
Epoch 103/500
29/29 [==============================] - 0s 2ms/step - loss: 112.9158 - val_loss: 117.1674
Epoch 104/500
29/29 [==============================] - 0s 7ms/step - loss: 107.6556 - val_loss: 112.4204
Epoch 105/500
29/29 [==============================] - 0s 2ms/step - loss: 102.2449 - val_loss: 106.8174
Epoch 106/500
29/29 [==============================] - 0s 8ms/step - loss: 97.3906 - val_loss: 102.0073
Epoch 107/500
29/29 [==============================] - 0s 5ms/step - loss: 92.5411 - val_loss: 97.4875
Epoch 108/500
29/29 [==============================] - 0s 7ms/step - loss: 88.2544 - val_loss: 93.3529
Epoch 109/500
29/29 [==============================] - 0s 7ms/step - loss: 84.8103 - val_loss: 89.7644
Epoch 110/500
29/29 [==============================] - 0s 2ms/step - loss: 80.0995 - val_loss: 85.6636
Epoch 111/500
29/29 [==============================] - 0s 2ms/step - loss: 76.9230 - val_loss: 81.7181
Epoch 112/500
29/29 [==============================] - 0s 2ms/step - loss: 72.4659 - val_loss: 78.2531
Epoch 113/500
29/29 [==============================] - 0s 2ms/step - loss: 69.1200 - val_loss: 73.9734
Epoch 114/500
29/29 [==============================] - 0s 2ms/step - loss: 65.4333 - val_loss: 70.6017
Epoch 115/500
29/29 [==============================] - 0s 3ms/step - loss: 61.8121 - val_loss: 68.1830
Epoch 116/500
29/29 [==============================] - 0s 2ms/step - loss: 59.6280 - val_loss: 64.6016
Epoch 117/500
29/29 [==============================] - 0s 2ms/step - loss: 56.4114 - val_loss: 62.2914
Epoch 118/500
29/29 [==============================] - 0s 2ms/step - loss: 54.0683 - val_loss: 60.1932
Epoch 119/500
29/29 [==============================] - 0s 2ms/step - loss: 52.0859 - val_loss: 56.7750
Epoch 120/500
29/29 [==============================] - 0s 2ms/step - loss: 49.2723 - val_loss: 54.3031
Epoch 121/500
29/29 [==============================] - 0s 2ms/step - loss: 46.7526 - val_loss: 52.3178
Epoch 122/500
29/29 [==============================] - 0s 2ms/step - loss: 44.8795 - val_loss: 50.2583
Epoch 123/500
29/29 [==============================] - 0s 2ms/step - loss: 42.8174 - val_loss: 49.7936
Epoch 124/500
29/29 [==============================] - 0s 2ms/step - loss: 41.5178 - val_loss: 46.9214
Epoch 125/500
29/29 [==============================] - 0s 2ms/step - loss: 39.8310 - val_loss: 44.9375
Epoch 126/500
29/29 [==============================] - 0s 2ms/step - loss: 38.9168 - val_loss: 43.2616
Epoch 127/500
29/29 [==============================] - 0s 2ms/step - loss: 36.9728 - val_loss: 41.6685
Epoch 128/500
29/29 [==============================] - 0s 2ms/step - loss: 36.4184 - val_loss: 42.2189
Epoch 129/500
29/29 [==============================] - 0s 4ms/step - loss: 35.4263 - val_loss: 40.2584
Epoch 130/500
29/29 [==============================] - 0s 2ms/step - loss: 33.1989 - val_loss: 38.0384
Epoch 131/500
29/29 [==============================] - 0s 2ms/step - loss: 32.2740 - val_loss: 36.7488
Epoch 132/500
29/29 [==============================] - 0s 2ms/step - loss: 31.4766 - val_loss: 35.1531
Epoch 133/500
29/29 [==============================] - 0s 2ms/step - loss: 31.3489 - val_loss: 34.5816
Epoch 134/500
29/29 [==============================] - 0s 2ms/step - loss: 30.0163 - val_loss: 33.1945
Epoch 135/500
29/29 [==============================] - 0s 3ms/step - loss: 28.8029 - val_loss: 32.1167
Epoch 136/500
29/29 [==============================] - 0s 2ms/step - loss: 27.9464 - val_loss: 31.6846
Epoch 137/500
29/29 [==============================] - 0s 2ms/step - loss: 27.5757 - val_loss: 30.9898
Epoch 138/500
29/29 [==============================] - 0s 2ms/step - loss: 26.4290 - val_loss: 30.8731
Epoch 139/500
29/29 [==============================] - 0s 2ms/step - loss: 26.1198 - val_loss: 28.8054
Epoch 140/500
29/29 [==============================] - 0s 3ms/step - loss: 25.0737 - val_loss: 28.0981
Epoch 141/500
29/29 [==============================] - 0s 3ms/step - loss: 24.5239 - val_loss: 27.0211
Epoch 142/500
29/29 [==============================] - 0s 3ms/step - loss: 23.8835 - val_loss: 30.2257
Epoch 143/500
29/29 [==============================] - 0s 2ms/step - loss: 24.0273 - val_loss: 26.6452
Epoch 144/500
29/29 [==============================] - 0s 2ms/step - loss: 23.4036 - val_loss: 28.3716
Epoch 145/500
29/29 [==============================] - 0s 6ms/step - loss: 22.8496 - val_loss: 25.8585
Epoch 146/500
29/29 [==============================] - 0s 11ms/step - loss: 22.1957 - val_loss: 24.3119
Epoch 147/500
29/29 [==============================] - 0s 6ms/step - loss: 22.2439 - val_loss: 24.0238
Epoch 148/500
29/29 [==============================] - 0s 4ms/step - loss: 21.5926 - val_loss: 24.5427
Epoch 149/500
29/29 [==============================] - 0s 2ms/step - loss: 21.4176 - val_loss: 22.5366
Epoch 150/500
29/29 [==============================] - 0s 4ms/step - loss: 20.7941 - val_loss: 21.9353
Epoch 151/500
29/29 [==============================] - 0s 4ms/step - loss: 20.7744 - val_loss: 21.8510
Epoch 152/500
29/29 [==============================] - 0s 2ms/step - loss: 20.3161 - val_loss: 21.6287
Epoch 153/500
29/29 [==============================] - 0s 2ms/step - loss: 20.2824 - val_loss: 20.9353
Epoch 154/500
29/29 [==============================] - 0s 2ms/step - loss: 19.5954 - val_loss: 20.6607
Epoch 155/500
29/29 [==============================] - 0s 2ms/step - loss: 19.4019 - val_loss: 23.7522
Epoch 156/500
29/29 [==============================] - 0s 2ms/step - loss: 19.5750 - val_loss: 19.7122
Epoch 157/500
29/29 [==============================] - 0s 3ms/step - loss: 19.5897 - val_loss: 19.6920
Epoch 158/500
29/29 [==============================] - 0s 2ms/step - loss: 18.9217 - val_loss: 19.3155
Epoch 159/500
29/29 [==============================] - 0s 2ms/step - loss: 18.8945 - val_loss: 20.2741
Epoch 160/500
29/29 [==============================] - 0s 2ms/step - loss: 19.1658 - val_loss: 21.0222
Epoch 161/500
29/29 [==============================] - 0s 2ms/step - loss: 18.6585 - val_loss: 19.2303
Epoch 162/500
29/29 [==============================] - 0s 2ms/step - loss: 18.7185 - val_loss: 19.7234
Epoch 163/500
29/29 [==============================] - 0s 2ms/step - loss: 18.2331 - val_loss: 19.4532
Epoch 164/500
29/29 [==============================] - 0s 2ms/step - loss: 18.5599 - val_loss: 18.6548
Epoch 165/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9828 - val_loss: 18.8610
Epoch 166/500
29/29 [==============================] - 0s 2ms/step - loss: 18.6684 - val_loss: 18.5950
Epoch 167/500
29/29 [==============================] - 0s 2ms/step - loss: 18.5503 - val_loss: 21.1197
Epoch 168/500
29/29 [==============================] - 0s 2ms/step - loss: 18.5045 - val_loss: 20.0499
Epoch 169/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0714 - val_loss: 19.7103
Epoch 170/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3789 - val_loss: 17.5621
Epoch 171/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9470 - val_loss: 17.8981
Epoch 172/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4936 - val_loss: 17.4810
Epoch 173/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4803 - val_loss: 17.8676
Epoch 174/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4677 - val_loss: 17.5505
Epoch 175/500
29/29 [==============================] - 0s 6ms/step - loss: 17.4430 - val_loss: 16.8950
Epoch 176/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6916 - val_loss: 16.8197
Epoch 177/500
29/29 [==============================] - 0s 3ms/step - loss: 17.5331 - val_loss: 16.5604
Epoch 178/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9004 - val_loss: 18.7825
Epoch 179/500
29/29 [==============================] - 0s 4ms/step - loss: 17.7431 - val_loss: 16.6827
Epoch 180/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1431 - val_loss: 16.6798
Epoch 181/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1339 - val_loss: 16.5481
Epoch 182/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1140 - val_loss: 16.3924
Epoch 183/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9705 - val_loss: 16.3415
Epoch 184/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2535 - val_loss: 15.9587
Epoch 185/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9886 - val_loss: 16.0898
Epoch 186/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0794 - val_loss: 16.8420
Epoch 187/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2533 - val_loss: 17.2351
Epoch 188/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9601 - val_loss: 15.8239
Epoch 189/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0143 - val_loss: 15.9280
Epoch 190/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6440 - val_loss: 15.6434
Epoch 191/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1003 - val_loss: 16.6483
Epoch 192/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7872 - val_loss: 15.7706
Epoch 193/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1305 - val_loss: 15.7198
Epoch 194/500
29/29 [==============================] - 0s 4ms/step - loss: 17.1221 - val_loss: 16.0652
Epoch 195/500
29/29 [==============================] - 0s 3ms/step - loss: 16.9441 - val_loss: 18.5172
Epoch 196/500
29/29 [==============================] - 0s 10ms/step - loss: 17.6637 - val_loss: 16.5540
Epoch 197/500
29/29 [==============================] - 0s 8ms/step - loss: 17.4377 - val_loss: 15.7634
Epoch 198/500
29/29 [==============================] - 0s 5ms/step - loss: 17.2751 - val_loss: 16.8092
Epoch 199/500
29/29 [==============================] - 0s 6ms/step - loss: 16.8916 - val_loss: 17.7121
Epoch 200/500
29/29 [==============================] - 0s 6ms/step - loss: 16.7895 - val_loss: 15.7424
Epoch 201/500
29/29 [==============================] - 0s 4ms/step - loss: 16.9002 - val_loss: 16.1802
Epoch 202/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1227 - val_loss: 16.3301
Epoch 203/500
29/29 [==============================] - 0s 3ms/step - loss: 17.3447 - val_loss: 16.7581
Epoch 204/500
29/29 [==============================] - 0s 3ms/step - loss: 17.0949 - val_loss: 16.2444
Epoch 205/500
29/29 [==============================] - 0s 6ms/step - loss: 16.9526 - val_loss: 16.6460
Epoch 206/500
29/29 [==============================] - 0s 5ms/step - loss: 16.7016 - val_loss: 16.5423
Epoch 207/500
29/29 [==============================] - 0s 4ms/step - loss: 17.5339 - val_loss: 16.0262
Epoch 208/500
29/29 [==============================] - 0s 8ms/step - loss: 16.7962 - val_loss: 16.9433
Epoch 209/500
29/29 [==============================] - 0s 5ms/step - loss: 17.1884 - val_loss: 16.1056
Epoch 210/500
29/29 [==============================] - 0s 4ms/step - loss: 16.9448 - val_loss: 15.8065
Epoch 211/500
29/29 [==============================] - 0s 5ms/step - loss: 16.9732 - val_loss: 15.6584
Epoch 212/500
29/29 [==============================] - 0s 8ms/step - loss: 16.7021 - val_loss: 15.4573
Epoch 213/500
29/29 [==============================] - 0s 6ms/step - loss: 16.8161 - val_loss: 15.5267
Epoch 214/500
29/29 [==============================] - 0s 3ms/step - loss: 16.8458 - val_loss: 15.8468
Epoch 215/500
29/29 [==============================] - 0s 3ms/step - loss: 16.5367 - val_loss: 17.0186
Epoch 216/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2154 - val_loss: 15.7289
Epoch 217/500
29/29 [==============================] - 0s 5ms/step - loss: 16.7430 - val_loss: 17.0218
Epoch 218/500
29/29 [==============================] - 0s 7ms/step - loss: 17.1552 - val_loss: 15.2052
Epoch 219/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5472 - val_loss: 15.4590
Epoch 220/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7512 - val_loss: 15.9161
Epoch 221/500
29/29 [==============================] - 0s 5ms/step - loss: 16.8825 - val_loss: 16.4051
Epoch 222/500
29/29 [==============================] - 0s 4ms/step - loss: 16.8152 - val_loss: 15.9647
Epoch 223/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8068 - val_loss: 16.1608
Epoch 224/500
29/29 [==============================] - 0s 10ms/step - loss: 16.8362 - val_loss: 15.5414
Epoch 225/500
29/29 [==============================] - 0s 3ms/step - loss: 16.8658 - val_loss: 15.7547
Epoch 226/500
29/29 [==============================] - 0s 6ms/step - loss: 17.1285 - val_loss: 15.6839
Epoch 227/500
29/29 [==============================] - 0s 4ms/step - loss: 16.7982 - val_loss: 17.2503
Epoch 228/500
29/29 [==============================] - 0s 4ms/step - loss: 17.8080 - val_loss: 15.3940
Epoch 229/500
29/29 [==============================] - 0s 5ms/step - loss: 17.0059 - val_loss: 15.7661
Epoch 230/500
29/29 [==============================] - 0s 4ms/step - loss: 16.7442 - val_loss: 15.8005
Epoch 231/500
29/29 [==============================] - 0s 5ms/step - loss: 16.9525 - val_loss: 16.2309
Epoch 232/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9108 - val_loss: 16.0999
Epoch 233/500
29/29 [==============================] - 0s 5ms/step - loss: 16.7585 - val_loss: 16.1910
Epoch 234/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6853 - val_loss: 15.6546
Epoch 235/500
29/29 [==============================] - 0s 8ms/step - loss: 16.9951 - val_loss: 16.4652
Epoch 236/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8677 - val_loss: 16.2169
Epoch 237/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1198 - val_loss: 15.4781
Epoch 238/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8236 - val_loss: 15.6848
Epoch 239/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9610 - val_loss: 14.9835
Epoch 240/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0069 - val_loss: 15.3613
Epoch 241/500
29/29 [==============================] - 0s 5ms/step - loss: 16.5049 - val_loss: 17.7271
Epoch 242/500
29/29 [==============================] - 0s 5ms/step - loss: 17.3132 - val_loss: 16.3544
Epoch 243/500
29/29 [==============================] - 0s 5ms/step - loss: 17.0839 - val_loss: 18.3784
Epoch 244/500
29/29 [==============================] - 0s 5ms/step - loss: 17.1579 - val_loss: 16.0972
Epoch 245/500
29/29 [==============================] - 0s 3ms/step - loss: 17.2440 - val_loss: 17.2856
Epoch 246/500
29/29 [==============================] - 0s 5ms/step - loss: 16.8688 - val_loss: 15.4020
Epoch 247/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1391 - val_loss: 16.2974
Epoch 248/500
29/29 [==============================] - 0s 4ms/step - loss: 16.9322 - val_loss: 15.3803
Epoch 249/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9531 - val_loss: 15.8457
Epoch 250/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7446 - val_loss: 16.9064
Epoch 251/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6028 - val_loss: 17.6834
Epoch 252/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6661 - val_loss: 15.3722
Epoch 253/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6904 - val_loss: 15.5138
Epoch 254/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9330 - val_loss: 18.0848
Epoch 255/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7523 - val_loss: 15.0981
Epoch 256/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3404 - val_loss: 15.6933
Epoch 257/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9197 - val_loss: 15.5971
Epoch 258/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8471 - val_loss: 15.6061
Epoch 259/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9964 - val_loss: 15.9854
Epoch 260/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9031 - val_loss: 15.6087
Epoch 261/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0497 - val_loss: 15.2580
Epoch 262/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9474 - val_loss: 15.9054
Epoch 263/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3535 - val_loss: 17.9389
Epoch 264/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2823 - val_loss: 17.6540
Epoch 265/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8183 - val_loss: 15.5193
Epoch 266/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9173 - val_loss: 16.3104
Epoch 267/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6683 - val_loss: 15.5116
Epoch 268/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0760 - val_loss: 15.6156
Epoch 269/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7943 - val_loss: 18.0725
Epoch 270/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0157 - val_loss: 15.4234
Epoch 271/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6739 - val_loss: 17.4004
Epoch 272/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9146 - val_loss: 17.8138
Epoch 273/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0479 - val_loss: 15.3780
Epoch 274/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7300 - val_loss: 15.6901
Epoch 275/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7146 - val_loss: 16.4013
Epoch 276/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6916 - val_loss: 15.9264
Epoch 277/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8071 - val_loss: 15.3551
Epoch 278/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9561 - val_loss: 15.9807
Epoch 279/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0771 - val_loss: 15.2542
Epoch 280/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8260 - val_loss: 16.3696
Epoch 281/500
29/29 [==============================] - 0s 3ms/step - loss: 16.7827 - val_loss: 15.7094
Epoch 282/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1241 - val_loss: 15.5718
Epoch 283/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1086 - val_loss: 16.8489
Epoch 284/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3359 - val_loss: 16.3301
Epoch 285/500
29/29 [==============================] - 0s 2ms/step - loss: 16.4372 - val_loss: 16.7967
Epoch 286/500
29/29 [==============================] - 0s 3ms/step - loss: 17.5747 - val_loss: 15.4852
Epoch 287/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6745 - val_loss: 16.8456
Epoch 288/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8166 - val_loss: 15.3553
Epoch 289/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6576 - val_loss: 15.5701
Epoch 290/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7924 - val_loss: 15.9865
Epoch 291/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5814 - val_loss: 17.7347
Epoch 292/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3498 - val_loss: 16.9892
Epoch 293/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6108 - val_loss: 16.1382
Epoch 294/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8013 - val_loss: 16.0846
Epoch 295/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0919 - val_loss: 18.4104
Epoch 296/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0102 - val_loss: 15.2090
Epoch 297/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1585 - val_loss: 15.5738
Epoch 298/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1612 - val_loss: 15.3459
Epoch 299/500
29/29 [==============================] - ETA: 0s - loss: 22.34 - 0s 2ms/step - loss: 16.9318 - val_loss: 15.9417
Epoch 300/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4279 - val_loss: 16.7455
Epoch 301/500
29/29 [==============================] - 0s 3ms/step - loss: 17.6902 - val_loss: 16.4797
Epoch 302/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9623 - val_loss: 15.7732
Epoch 303/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3902 - val_loss: 15.4086
Epoch 304/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7104 - val_loss: 16.2256
Epoch 305/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6207 - val_loss: 15.9962
Epoch 306/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1050 - val_loss: 16.6516
Epoch 307/500
29/29 [==============================] - 0s 3ms/step - loss: 16.6968 - val_loss: 17.2725
Epoch 308/500
29/29 [==============================] - 0s 3ms/step - loss: 17.1192 - val_loss: 17.4507
Epoch 309/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0898 - val_loss: 21.8774
Epoch 310/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3093 - val_loss: 15.2656
Epoch 311/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8908 - val_loss: 15.8143
Epoch 312/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8083 - val_loss: 15.5649
Epoch 313/500
29/29 [==============================] - 0s 4ms/step - loss: 16.9552 - val_loss: 15.3556
Epoch 314/500
29/29 [==============================] - 0s 4ms/step - loss: 17.1015 - val_loss: 16.7591
Epoch 315/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7241 - val_loss: 17.1576
Epoch 316/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7715 - val_loss: 15.9114
Epoch 317/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6651 - val_loss: 17.0850
Epoch 318/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6449 - val_loss: 15.5472
Epoch 319/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5141 - val_loss: 16.9225
Epoch 320/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8522 - val_loss: 15.9476
Epoch 321/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8899 - val_loss: 15.4776
Epoch 322/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6709 - val_loss: 15.3569
Epoch 323/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7943 - val_loss: 15.5319
Epoch 324/500
29/29 [==============================] - 0s 4ms/step - loss: 17.3946 - val_loss: 15.2930
Epoch 325/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6600 - val_loss: 17.5153
Epoch 326/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0133 - val_loss: 17.2690
Epoch 327/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1741 - val_loss: 18.1899
Epoch 328/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8071 - val_loss: 15.5445
Epoch 329/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6972 - val_loss: 15.5701
Epoch 330/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8271 - val_loss: 15.4760
Epoch 331/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5120 - val_loss: 18.0282
Epoch 332/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0151 - val_loss: 15.8218
Epoch 333/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9981 - val_loss: 19.9150
Epoch 334/500
29/29 [==============================] - 0s 2ms/step - loss: 17.7600 - val_loss: 16.4616
Epoch 335/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0721 - val_loss: 17.4686
Epoch 336/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7245 - val_loss: 15.5439
Epoch 337/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8398 - val_loss: 16.1618
Epoch 338/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0590 - val_loss: 15.6748
Epoch 339/500
29/29 [==============================] - 0s 2ms/step - loss: 17.9752 - val_loss: 15.3463
Epoch 340/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2788 - val_loss: 15.6268
Epoch 341/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9110 - val_loss: 15.3948
Epoch 342/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6258 - val_loss: 16.2535
Epoch 343/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5673 - val_loss: 17.2313
Epoch 344/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9357 - val_loss: 18.8520
Epoch 345/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8304 - val_loss: 15.3576
Epoch 346/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5505 - val_loss: 16.6322
Epoch 347/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9040 - val_loss: 15.4347
Epoch 348/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9362 - val_loss: 16.0059
Epoch 349/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1846 - val_loss: 15.3590
Epoch 350/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1081 - val_loss: 15.7426
Epoch 351/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1185 - val_loss: 17.1200
Epoch 352/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6511 - val_loss: 15.7845
Epoch 353/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3036 - val_loss: 15.9440
Epoch 354/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2335 - val_loss: 15.2971
Epoch 355/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5636 - val_loss: 15.6121
Epoch 356/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0482 - val_loss: 15.4737
Epoch 357/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6981 - val_loss: 15.4613
Epoch 358/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9515 - val_loss: 16.4903
Epoch 359/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8210 - val_loss: 18.5075
Epoch 360/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2582 - val_loss: 15.6068
Epoch 361/500
29/29 [==============================] - 0s 5ms/step - loss: 17.4249 - val_loss: 15.4054
Epoch 362/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6675 - val_loss: 15.5153
Epoch 363/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8259 - val_loss: 15.8899
Epoch 364/500
29/29 [==============================] - 0s 3ms/step - loss: 16.7038 - val_loss: 16.5884
Epoch 365/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7974 - val_loss: 16.4221
Epoch 366/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7309 - val_loss: 15.7759
Epoch 367/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7742 - val_loss: 16.1948
Epoch 368/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7960 - val_loss: 15.7167
Epoch 369/500
29/29 [==============================] - 0s 12ms/step - loss: 17.0953 - val_loss: 15.7991
Epoch 370/500
29/29 [==============================] - 0s 5ms/step - loss: 17.4965 - val_loss: 16.8805
Epoch 371/500
29/29 [==============================] - 0s 6ms/step - loss: 18.0832 - val_loss: 15.3525
Epoch 372/500
29/29 [==============================] - 0s 4ms/step - loss: 16.8920 - val_loss: 15.6262
Epoch 373/500
29/29 [==============================] - 0s 3ms/step - loss: 16.5437 - val_loss: 15.4703
Epoch 374/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0512 - val_loss: 17.3336
Epoch 375/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8380 - val_loss: 15.9550
Epoch 376/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0345 - val_loss: 16.2226
Epoch 377/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0334 - val_loss: 16.0843
Epoch 378/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1156 - val_loss: 15.3970
Epoch 379/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0795 - val_loss: 15.6962
Epoch 380/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0333 - val_loss: 15.9403
Epoch 381/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9294 - val_loss: 15.6155
Epoch 382/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8895 - val_loss: 15.3475
Epoch 383/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5914 - val_loss: 15.4747
Epoch 384/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2024 - val_loss: 15.5437
Epoch 385/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7135 - val_loss: 16.0216
Epoch 386/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5758 - val_loss: 16.6980
Epoch 387/500
29/29 [==============================] - 0s 2ms/step - loss: 18.4869 - val_loss: 17.5280
Epoch 388/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3970 - val_loss: 15.0809
Epoch 389/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9547 - val_loss: 16.6280
Epoch 390/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9264 - val_loss: 17.6436
Epoch 391/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0882 - val_loss: 17.3438
Epoch 392/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6665 - val_loss: 15.5887
Epoch 393/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6849 - val_loss: 16.2574
Epoch 394/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6546 - val_loss: 15.3312
Epoch 395/500
29/29 [==============================] - 0s 2ms/step - loss: 17.8133 - val_loss: 15.9445
Epoch 396/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6144 - val_loss: 17.6901
Epoch 397/500
29/29 [==============================] - 0s 2ms/step - loss: 17.3800 - val_loss: 16.3042
Epoch 398/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9048 - val_loss: 15.4412
Epoch 399/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8282 - val_loss: 15.5696
Epoch 400/500
29/29 [==============================] - 0s 3ms/step - loss: 16.8629 - val_loss: 15.4424
Epoch 401/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7715 - val_loss: 16.8915
Epoch 402/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0250 - val_loss: 16.9175
Epoch 403/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8387 - val_loss: 15.7576
Epoch 404/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1791 - val_loss: 15.2371
Epoch 405/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9870 - val_loss: 15.2350
Epoch 406/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8162 - val_loss: 15.3502
Epoch 407/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7265 - val_loss: 18.3732
Epoch 408/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5710 - val_loss: 15.3255
Epoch 409/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7736 - val_loss: 15.5736
Epoch 410/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9132 - val_loss: 16.0128
Epoch 411/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2498 - val_loss: 15.7452
Epoch 412/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8290 - val_loss: 15.5954
Epoch 413/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9926 - val_loss: 16.2563
Epoch 414/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0039 - val_loss: 15.8844
Epoch 415/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7965 - val_loss: 15.1994
Epoch 416/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8017 - val_loss: 16.4141
Epoch 417/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9222 - val_loss: 16.1576
Epoch 418/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0741 - val_loss: 15.2719
Epoch 419/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2866 - val_loss: 15.4112
Epoch 420/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7502 - val_loss: 15.4181
Epoch 421/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6162 - val_loss: 18.9551
Epoch 422/500
29/29 [==============================] - 0s 2ms/step - loss: 17.6908 - val_loss: 18.6755
Epoch 423/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2761 - val_loss: 16.0211
Epoch 424/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8756 - val_loss: 16.5280
Epoch 425/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7040 - val_loss: 15.5015
Epoch 426/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0173 - val_loss: 15.7673
Epoch 427/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6840 - val_loss: 15.5568
Epoch 428/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6944 - val_loss: 15.5903
Epoch 429/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9572 - val_loss: 15.9696
Epoch 430/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8555 - val_loss: 16.1706
Epoch 431/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2901 - val_loss: 15.3019
Epoch 432/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1606 - val_loss: 15.2923
Epoch 433/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0871 - val_loss: 15.7822
Epoch 434/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1918 - val_loss: 17.4572
Epoch 435/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0459 - val_loss: 15.8831
Epoch 436/500
29/29 [==============================] - 0s 2ms/step - loss: 18.0573 - val_loss: 15.1717
Epoch 437/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7147 - val_loss: 15.4122
Epoch 438/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8219 - val_loss: 16.4246
Epoch 439/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9296 - val_loss: 16.5431
Epoch 440/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2902 - val_loss: 15.5981
Epoch 441/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8943 - val_loss: 16.2472
Epoch 442/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0558 - val_loss: 15.6776
Epoch 443/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7821 - val_loss: 16.2213
Epoch 444/500
29/29 [==============================] - 0s 5ms/step - loss: 16.6658 - val_loss: 15.4734
Epoch 445/500
29/29 [==============================] - 0s 3ms/step - loss: 17.0417 - val_loss: 15.2532
Epoch 446/500
29/29 [==============================] - 0s 3ms/step - loss: 16.9787 - val_loss: 15.4139
Epoch 447/500
29/29 [==============================] - 0s 3ms/step - loss: 16.7531 - val_loss: 15.7925
Epoch 448/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9937 - val_loss: 16.8917
Epoch 449/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5920 - val_loss: 15.5602
Epoch 450/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1304 - val_loss: 15.5890
Epoch 451/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4138 - val_loss: 18.6326
Epoch 452/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8148 - val_loss: 15.7434
Epoch 453/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6922 - val_loss: 15.5982
Epoch 454/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4592 - val_loss: 15.8037
Epoch 455/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0491 - val_loss: 15.0720
Epoch 456/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5023 - val_loss: 16.4461
Epoch 457/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7419 - val_loss: 15.6544
Epoch 458/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5750 - val_loss: 15.7143
Epoch 459/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7856 - val_loss: 15.7712
Epoch 460/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7531 - val_loss: 15.8519
Epoch 461/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7580 - val_loss: 18.6682
Epoch 462/500
29/29 [==============================] - 0s 2ms/step - loss: 17.4080 - val_loss: 16.7035
Epoch 463/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8346 - val_loss: 15.0822
Epoch 464/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2625 - val_loss: 15.9463
Epoch 465/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2393 - val_loss: 15.3316
Epoch 466/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9139 - val_loss: 15.2536
Epoch 467/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7418 - val_loss: 15.4319
Epoch 468/500
29/29 [==============================] - 0s 7ms/step - loss: 16.6223 - val_loss: 15.6772
Epoch 469/500
29/29 [==============================] - 0s 3ms/step - loss: 17.0768 - val_loss: 15.8486
Epoch 470/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7879 - val_loss: 16.3204
Epoch 471/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7350 - val_loss: 15.6461
Epoch 472/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7529 - val_loss: 15.5646
Epoch 473/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6219 - val_loss: 16.6256
Epoch 474/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6416 - val_loss: 16.5600
Epoch 475/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8325 - val_loss: 15.2173
Epoch 476/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8370 - val_loss: 15.9290
Epoch 477/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5491 - val_loss: 16.7064
Epoch 478/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8833 - val_loss: 16.0038
Epoch 479/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6616 - val_loss: 15.5939
Epoch 480/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9318 - val_loss: 16.9045
Epoch 481/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6959 - val_loss: 16.3470
Epoch 482/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8677 - val_loss: 15.4207
Epoch 483/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0796 - val_loss: 16.4757
Epoch 484/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8800 - val_loss: 17.6212
Epoch 485/500
29/29 [==============================] - 0s 2ms/step - loss: 17.5596 - val_loss: 18.4923
Epoch 486/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9904 - val_loss: 15.7384
Epoch 487/500
29/29 [==============================] - 0s 2ms/step - loss: 17.0422 - val_loss: 17.7308
Epoch 488/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7321 - val_loss: 15.7159
Epoch 489/500
29/29 [==============================] - 0s 2ms/step - loss: 17.2081 - val_loss: 16.6790
Epoch 490/500
29/29 [==============================] - 0s 2ms/step - loss: 16.2461 - val_loss: 16.2030
Epoch 491/500
29/29 [==============================] - 0s 2ms/step - loss: 16.7890 - val_loss: 15.6618
Epoch 492/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8598 - val_loss: 15.4351
Epoch 493/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6297 - val_loss: 15.5032
Epoch 494/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9870 - val_loss: 15.6405
Epoch 495/500
29/29 [==============================] - 0s 2ms/step - loss: 16.5192 - val_loss: 15.5025
Epoch 496/500
29/29 [==============================] - 0s 2ms/step - loss: 16.6092 - val_loss: 15.6999
Epoch 497/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8655 - val_loss: 15.3804
Epoch 498/500
29/29 [==============================] - 0s 2ms/step - loss: 16.8284 - val_loss: 15.7348
Epoch 499/500
29/29 [==============================] - 0s 2ms/step - loss: 16.9639 - val_loss: 15.3813
Epoch 500/500
29/29 [==============================] - 0s 2ms/step - loss: 17.1498 - val_loss: 17.0126
```
---
## Third Neural Network model code output
Epoch 1/500 29/29 [==============================] - 0s 5ms/step - loss: 4004.9480 - val_loss: 3995.0837 Epoch 2/500 29/29 [==============================] - 0s 2ms/step - loss: 3934.0444 - val_loss: 3920.8606 Epoch 3/500 29/29 [==============================] - 0s 3ms/step - loss: 3857.8684 - val_loss: 3839.9619 Epoch 4/500 29/29 [==============================] - 0s 3ms/step - loss: 3772.8293 - val_loss: 3750.0190 Epoch 5/500 29/29 [==============================] - 0s 2ms/step - loss: 3676.6855 - val_loss: 3643.0542
Epoch 1/500
29/29 [==============================] - 0s 5ms/step - loss: 4004.9480 - val_loss: 3995.0837
Epoch 2/500
29/29 [==============================] - 0s 2ms/step - loss: 3934.0444 - val_loss: 3920.8606
Epoch 3/500
29/29 [==============================] - 0s 3ms/step - loss: 3857.8684 - val_loss: 3839.9619
Epoch 4/500
29/29 [==============================] - 0s 3ms/step - loss: 3772.8293 - val_loss: 3750.0190
Epoch 5/500
29/29 [==============================] - 0s 2ms/step - loss: 3676.6855 - val_loss: 3643.0542
Epoch 6/500
29/29 [==============================] - 0s 2ms/step - loss: 3566.4087 - val_loss: 3521.3391
Epoch 7/500
29/29 [==============================] - 0s 2ms/step - loss: 3442.4636 - val_loss: 3386.7603
Epoch 8/500
29/29 [==============================] - 0s 2ms/step - loss: 3316.5095 - val_loss: 3276.5237
Epoch 9/500
29/29 [==============================] - 0s 2ms/step - loss: 3217.5044 - val_loss: 3184.4336
Epoch 10/500
29/29 [==============================] - 0s 2ms/step - loss: 3135.3904 - val_loss: 3113.0254
Epoch 11/500
29/29 [==============================] - 0s 2ms/step - loss: 3066.9741 - val_loss: 3046.6826
Epoch 12/500
29/29 [==============================] - 0s 2ms/step - loss: 3004.1770 - val_loss: 2983.7041
Epoch 13/500
29/29 [==============================] - 0s 2ms/step - loss: 2945.5115 - val_loss: 2926.1589
Epoch 14/500
29/29 [==============================] - 0s 2ms/step - loss: 2889.4458 - val_loss: 2870.2419
Epoch 15/500
29/29 [==============================] - 0s 2ms/step - loss: 2835.1619 - val_loss: 2816.8376
Epoch 16/500
29/29 [==============================] - 0s 3ms/step - loss: 2782.9194 - val_loss: 2766.0195
Epoch 17/500
29/29 [==============================] - 0s 2ms/step - loss: 2733.5952 - val_loss: 2715.6462
Epoch 18/500
29/29 [==============================] - 0s 2ms/step - loss: 2685.1218 - val_loss: 2668.1860
Epoch 19/500
29/29 [==============================] - 0s 2ms/step - loss: 2639.6504 - val_loss: 2621.1401
Epoch 20/500
29/29 [==============================] - 0s 2ms/step - loss: 2595.0193 - val_loss: 2576.5461
Epoch 21/500
29/29 [==============================] - 0s 2ms/step - loss: 2552.0435 - val_loss: 2534.4680
Epoch 22/500
29/29 [==============================] - 0s 2ms/step - loss: 2510.4287 - val_loss: 2493.0642
Epoch 23/500
29/29 [==============================] - 0s 2ms/step - loss: 2470.1909 - val_loss: 2452.6758
Epoch 24/500
29/29 [==============================] - 0s 2ms/step - loss: 2431.0552 - val_loss: 2413.1804
Epoch 25/500
29/29 [==============================] - 0s 2ms/step - loss: 2392.5840 - val_loss: 2376.4944
Epoch 26/500
29/29 [==============================] - 0s 2ms/step - loss: 2356.2205 - val_loss: 2337.5115
Epoch 27/500
29/29 [==============================] - 0s 4ms/step - loss: 2319.3262 - val_loss: 2302.2129
Epoch 28/500
29/29 [==============================] - 0s 2ms/step - loss: 2284.1174 - val_loss: 2266.5303
Epoch 29/500
29/29 [==============================] - 0s 2ms/step - loss: 2248.7944 - val_loss: 2232.5908
Epoch 30/500
29/29 [==============================] - 0s 2ms/step - loss: 2214.8247 - val_loss: 2198.0840
Epoch 31/500
29/29 [==============================] - 0s 2ms/step - loss: 2181.7219 - val_loss: 2163.5693
Epoch 32/500
29/29 [==============================] - 0s 2ms/step - loss: 2148.5728 - val_loss: 2131.8459
Epoch 33/500
29/29 [==============================] - 0s 2ms/step - loss: 2117.5537 - val_loss: 2098.8113
Epoch 34/500
29/29 [==============================] - 0s 2ms/step - loss: 2085.6252 - val_loss: 2068.8696
Epoch 35/500
29/29 [==============================] - 0s 2ms/step - loss: 2056.2561 - val_loss: 2038.6392
Epoch 36/500
29/29 [==============================] - 0s 2ms/step - loss: 2026.5308 - val_loss: 2008.7037
Epoch 37/500
29/29 [==============================] - 0s 2ms/step - loss: 1996.8112 - val_loss: 1979.3511
Epoch 38/500
29/29 [==============================] - 0s 2ms/step - loss: 1967.7830 - val_loss: 1949.5128
Epoch 39/500
29/29 [==============================] - 0s 2ms/step - loss: 1939.2108 - val_loss: 1920.7947
Epoch 40/500
29/29 [==============================] - 0s 2ms/step - loss: 1910.9203 - val_loss: 1894.9744
Epoch 41/500
29/29 [==============================] - 0s 2ms/step - loss: 1883.8264 - val_loss: 1867.3470
Epoch 42/500
29/29 [==============================] - 0s 2ms/step - loss: 1857.1768 - val_loss: 1839.2963
Epoch 43/500
29/29 [==============================] - 0s 2ms/step - loss: 1829.8976 - val_loss: 1813.5968
Epoch 44/500
29/29 [==============================] - 0s 2ms/step - loss: 1803.8210 - val_loss: 1787.8049
Epoch 45/500
29/29 [==============================] - 0s 2ms/step - loss: 1777.3477 - val_loss: 1761.0176
Epoch 46/500
29/29 [==============================] - 0s 2ms/step - loss: 1751.6578 - val_loss: 1734.9338
Epoch 47/500
29/29 [==============================] - 0s 2ms/step - loss: 1726.3486 - val_loss: 1709.1407
Epoch 48/500
29/29 [==============================] - 0s 2ms/step - loss: 1700.5798 - val_loss: 1685.2750
Epoch 49/500
29/29 [==============================] - 0s 2ms/step - loss: 1675.3361 - val_loss: 1660.2938
Epoch 50/500
29/29 [==============================] - 0s 2ms/step - loss: 1650.7455 - val_loss: 1635.5265
Epoch 51/500
29/29 [==============================] - 0s 2ms/step - loss: 1626.3947 - val_loss: 1610.7404
Epoch 52/500
29/29 [==============================] - 0s 3ms/step - loss: 1602.2117 - val_loss: 1586.0806
Epoch 53/500
29/29 [==============================] - 0s 3ms/step - loss: 1577.8983 - val_loss: 1561.8433
Epoch 54/500
29/29 [==============================] - 0s 2ms/step - loss: 1554.1450 - val_loss: 1539.4829
Epoch 55/500
29/29 [==============================] - 0s 2ms/step - loss: 1530.8523 - val_loss: 1516.2482
Epoch 56/500
29/29 [==============================] - 0s 2ms/step - loss: 1507.9916 - val_loss: 1492.6456
Epoch 57/500
29/29 [==============================] - 0s 2ms/step - loss: 1484.6960 - val_loss: 1470.4315
Epoch 58/500
29/29 [==============================] - 0s 2ms/step - loss: 1462.5515 - val_loss: 1447.6909
Epoch 59/500
29/29 [==============================] - 0s 2ms/step - loss: 1440.6606 - val_loss: 1425.8843
Epoch 60/500
29/29 [==============================] - 0s 2ms/step - loss: 1418.0131 - val_loss: 1405.2466
Epoch 61/500
29/29 [==============================] - 0s 2ms/step - loss: 1396.6600 - val_loss: 1383.4751
Epoch 62/500
29/29 [==============================] - 0s 2ms/step - loss: 1374.9246 - val_loss: 1361.5620
Epoch 63/500
29/29 [==============================] - 0s 2ms/step - loss: 1353.3877 - val_loss: 1340.8730
Epoch 64/500
29/29 [==============================] - 0s 2ms/step - loss: 1332.2091 - val_loss: 1320.3435
Epoch 65/500
29/29 [==============================] - 0s 2ms/step - loss: 1311.1931 - val_loss: 1298.9684
Epoch 66/500
29/29 [==============================] - 0s 2ms/step - loss: 1290.8104 - val_loss: 1277.7649
Epoch 67/500
29/29 [==============================] - 0s 2ms/step - loss: 1269.8771 - val_loss: 1258.4814
Epoch 68/500
29/29 [==============================] - 0s 2ms/step - loss: 1250.2019 - val_loss: 1238.2495
Epoch 69/500
29/29 [==============================] - 0s 2ms/step - loss: 1229.9247 - val_loss: 1218.6675
Epoch 70/500
29/29 [==============================] - 0s 2ms/step - loss: 1210.1182 - val_loss: 1199.6772
Epoch 71/500
29/29 [==============================] - 0s 2ms/step - loss: 1190.4839 - val_loss: 1180.0487
Epoch 72/500
29/29 [==============================] - 0s 2ms/step - loss: 1171.1979 - val_loss: 1161.3235
Epoch 73/500
29/29 [==============================] - 0s 2ms/step - loss: 1151.8646 - val_loss: 1142.3949
Epoch 74/500
29/29 [==============================] - 0s 2ms/step - loss: 1134.0851 - val_loss: 1123.3239
Epoch 75/500
29/29 [==============================] - 0s 2ms/step - loss: 1114.4520 - val_loss: 1104.9995
Epoch 76/500
29/29 [==============================] - 0s 2ms/step - loss: 1096.6187 - val_loss: 1087.0978
Epoch 77/500
29/29 [==============================] - 0s 2ms/step - loss: 1078.9885 - val_loss: 1069.4364
Epoch 78/500
29/29 [==============================] - 0s 2ms/step - loss: 1060.4546 - val_loss: 1052.3811
Epoch 79/500
29/29 [==============================] - 0s 2ms/step - loss: 1042.9813 - val_loss: 1034.8257
Epoch 80/500
29/29 [==============================] - 0s 2ms/step - loss: 1025.6561 - val_loss: 1017.6771
Epoch 81/500
29/29 [==============================] - 0s 2ms/step - loss: 1008.2120 - val_loss: 1000.2490
Epoch 82/500
29/29 [==============================] - 0s 2ms/step - loss: 991.2721 - val_loss: 983.5500
Epoch 83/500
29/29 [==============================] - 0s 2ms/step - loss: 974.1740 - val_loss: 966.6752
Epoch 84/500
29/29 [==============================] - 0s 2ms/step - loss: 957.7928 - val_loss: 950.5319
Epoch 85/500
29/29 [==============================] - 0s 2ms/step - loss: 940.8636 - val_loss: 934.9697
Epoch 86/500
29/29 [==============================] - 0s 2ms/step - loss: 925.1479 - val_loss: 918.5521
Epoch 87/500
29/29 [==============================] - 0s 2ms/step - loss: 908.9037 - val_loss: 903.1357
Epoch 88/500
29/29 [==============================] - 0s 2ms/step - loss: 893.3239 - val_loss: 887.7316
Epoch 89/500
29/29 [==============================] - 0s 2ms/step - loss: 877.4099 - val_loss: 872.1674
Epoch 90/500
29/29 [==============================] - 0s 2ms/step - loss: 862.6500 - val_loss: 856.7034
Epoch 91/500
29/29 [==============================] - 0s 2ms/step - loss: 846.7637 - val_loss: 842.4617
Epoch 92/500
29/29 [==============================] - 0s 2ms/step - loss: 832.0530 - val_loss: 827.5858
Epoch 93/500
29/29 [==============================] - 0s 2ms/step - loss: 817.0818 - val_loss: 812.4943
Epoch 94/500
29/29 [==============================] - 0s 2ms/step - loss: 803.1621 - val_loss: 798.0879
Epoch 95/500
29/29 [==============================] - 0s 2ms/step - loss: 788.1517 - val_loss: 784.2303
Epoch 96/500
29/29 [==============================] - 0s 2ms/step - loss: 773.7748 - val_loss: 770.3909
Epoch 97/500
29/29 [==============================] - 0s 2ms/step - loss: 759.7941 - val_loss: 756.6296
Epoch 98/500
29/29 [==============================] - 0s 2ms/step - loss: 746.0561 - val_loss: 742.7346
Epoch 99/500
29/29 [==============================] - 0s 2ms/step - loss: 732.8594 - val_loss: 729.4813
Epoch 100/500
29/29 [==============================] - 0s 2ms/step - loss: 719.5202 - val_loss: 716.7307
Epoch 101/500
29/29 [==============================] - 0s 2ms/step - loss: 705.9868 - val_loss: 703.4044
Epoch 102/500
29/29 [==============================] - 0s 2ms/step - loss: 693.4335 - val_loss: 690.5096
Epoch 103/500
29/29 [==============================] - 0s 2ms/step - loss: 680.3429 - val_loss: 678.0146
Epoch 104/500
29/29 [==============================] - 0s 2ms/step - loss: 667.6461 - val_loss: 665.8813
Epoch 105/500
29/29 [==============================] - 0s 2ms/step - loss: 655.5555 - val_loss: 653.1492
Epoch 106/500
29/29 [==============================] - 0s 2ms/step - loss: 642.7803 - val_loss: 640.9199
Epoch 107/500
29/29 [==============================] - 0s 2ms/step - loss: 630.9451 - val_loss: 628.9417
Epoch 108/500
29/29 [==============================] - 0s 2ms/step - loss: 619.3691 - val_loss: 617.5679
Epoch 109/500
29/29 [==============================] - 0s 2ms/step - loss: 607.1710 - val_loss: 605.3840
Epoch 110/500
29/29 [==============================] - 0s 2ms/step - loss: 595.7318 - val_loss: 594.8539
Epoch 111/500
29/29 [==============================] - 0s 2ms/step - loss: 584.1898 - val_loss: 583.2850
Epoch 112/500
29/29 [==============================] - 0s 2ms/step - loss: 573.2058 - val_loss: 571.8163
Epoch 113/500
29/29 [==============================] - 0s 2ms/step - loss: 562.0417 - val_loss: 560.8113
Epoch 114/500
29/29 [==============================] - 0s 2ms/step - loss: 551.3507 - val_loss: 550.6224
Epoch 115/500
29/29 [==============================] - 0s 2ms/step - loss: 540.6876 - val_loss: 539.3198
Epoch 116/500
29/29 [==============================] - 0s 2ms/step - loss: 530.2601 - val_loss: 530.1404
Epoch 117/500
29/29 [==============================] - 0s 2ms/step - loss: 520.5710 - val_loss: 518.8015
Epoch 118/500
29/29 [==============================] - 0s 2ms/step - loss: 509.5159 - val_loss: 509.6127
Epoch 119/500
29/29 [==============================] - 0s 2ms/step - loss: 500.0608 - val_loss: 499.4570
Epoch 120/500
29/29 [==============================] - 0s 2ms/step - loss: 490.2924 - val_loss: 489.4934
Epoch 121/500
29/29 [==============================] - 0s 2ms/step - loss: 480.8520 - val_loss: 480.0442
Epoch 122/500
29/29 [==============================] - 0s 2ms/step - loss: 471.1340 - val_loss: 471.5748
Epoch 123/500
29/29 [==============================] - 0s 2ms/step - loss: 462.0216 - val_loss: 462.0753
Epoch 124/500
29/29 [==============================] - 0s 2ms/step - loss: 453.2598 - val_loss: 453.0181
Epoch 125/500
29/29 [==============================] - 0s 3ms/step - loss: 444.2963 - val_loss: 443.9689
Epoch 126/500
29/29 [==============================] - 0s 3ms/step - loss: 435.1801 - val_loss: 434.4499
Epoch 127/500
29/29 [==============================] - 0s 2ms/step - loss: 426.3775 - val_loss: 426.7096
Epoch 128/500
29/29 [==============================] - 0s 2ms/step - loss: 418.1800 - val_loss: 417.6513
Epoch 129/500
29/29 [==============================] - 0s 2ms/step - loss: 409.8490 - val_loss: 409.6674
Epoch 130/500
29/29 [==============================] - 0s 2ms/step - loss: 401.8621 - val_loss: 401.8577
Epoch 131/500
29/29 [==============================] - 0s 2ms/step - loss: 394.0327 - val_loss: 393.2515
Epoch 132/500
29/29 [==============================] - 0s 3ms/step - loss: 385.6400 - val_loss: 385.5836
Epoch 133/500
29/29 [==============================] - 0s 4ms/step - loss: 377.9145 - val_loss: 377.9886
Epoch 134/500
29/29 [==============================] - 0s 4ms/step - loss: 371.0074 - val_loss: 370.3758
Epoch 135/500
29/29 [==============================] - 0s 3ms/step - loss: 363.0028 - val_loss: 364.2702
Epoch 136/500
29/29 [==============================] - 0s 3ms/step - loss: 355.8835 - val_loss: 355.7638
Epoch 137/500
29/29 [==============================] - 0s 4ms/step - loss: 349.3340 - val_loss: 348.7859
Epoch 138/500
29/29 [==============================] - 0s 4ms/step - loss: 341.6422 - val_loss: 341.1505
Epoch 139/500
29/29 [==============================] - 0s 3ms/step - loss: 334.5184 - val_loss: 334.5284
Epoch 140/500
29/29 [==============================] - 0s 2ms/step - loss: 327.9373 - val_loss: 327.7718
Epoch 141/500
29/29 [==============================] - 0s 2ms/step - loss: 321.8899 - val_loss: 321.1393
Epoch 142/500
29/29 [==============================] - 0s 2ms/step - loss: 314.8830 - val_loss: 315.0280
Epoch 143/500
29/29 [==============================] - 0s 2ms/step - loss: 308.5584 - val_loss: 307.9766
Epoch 144/500
29/29 [==============================] - 0s 2ms/step - loss: 302.0643 - val_loss: 301.3352
Epoch 145/500
29/29 [==============================] - 0s 2ms/step - loss: 296.3679 - val_loss: 295.4282
Epoch 146/500
29/29 [==============================] - 0s 2ms/step - loss: 290.2603 - val_loss: 289.3301
Epoch 147/500
29/29 [==============================] - 0s 2ms/step - loss: 284.4049 - val_loss: 283.4295
Epoch 148/500
29/29 [==============================] - 0s 2ms/step - loss: 279.1232 - val_loss: 277.4713
Epoch 149/500
29/29 [==============================] - 0s 2ms/step - loss: 272.9316 - val_loss: 271.5387
Epoch 150/500
29/29 [==============================] - 0s 2ms/step - loss: 267.2615 - val_loss: 265.9685
Epoch 151/500
29/29 [==============================] - 0s 2ms/step - loss: 261.5988 - val_loss: 261.9038
Epoch 152/500
29/29 [==============================] - 0s 2ms/step - loss: 256.9218 - val_loss: 255.3048
Epoch 153/500
29/29 [==============================] - 0s 2ms/step - loss: 251.1544 - val_loss: 251.0181
Epoch 154/500
29/29 [==============================] - 0s 2ms/step - loss: 246.1646 - val_loss: 244.9975
Epoch 155/500
29/29 [==============================] - 0s 3ms/step - loss: 241.3668 - val_loss: 239.1975
Epoch 156/500
29/29 [==============================] - 0s 2ms/step - loss: 236.5089 - val_loss: 234.3227
Epoch 157/500
29/29 [==============================] - 0s 2ms/step - loss: 231.9527 - val_loss: 229.8514
Epoch 158/500
29/29 [==============================] - 0s 2ms/step - loss: 226.5782 - val_loss: 224.9465
Epoch 159/500
29/29 [==============================] - 0s 2ms/step - loss: 221.7348 - val_loss: 220.1609
Epoch 160/500
29/29 [==============================] - 0s 2ms/step - loss: 217.7993 - val_loss: 215.6264
Epoch 161/500
29/29 [==============================] - 0s 2ms/step - loss: 212.7145 - val_loss: 210.5199
Epoch 162/500
29/29 [==============================] - 0s 1ms/step - loss: 208.1257 - val_loss: 206.5060
Epoch 163/500
29/29 [==============================] - 0s 2ms/step - loss: 204.0331 - val_loss: 202.8156
Epoch 164/500
29/29 [==============================] - 0s 2ms/step - loss: 200.5276 - val_loss: 197.7714
Epoch 165/500
29/29 [==============================] - 0s 2ms/step - loss: 195.9546 - val_loss: 194.1251
Epoch 166/500
29/29 [==============================] - 0s 2ms/step - loss: 192.0818 - val_loss: 189.8414
Epoch 167/500
29/29 [==============================] - 0s 2ms/step - loss: 187.8879 - val_loss: 186.0625
Epoch 168/500
29/29 [==============================] - 0s 2ms/step - loss: 184.1942 - val_loss: 181.9116
Epoch 169/500
29/29 [==============================] - 0s 2ms/step - loss: 180.5978 - val_loss: 177.6628
Epoch 170/500
29/29 [==============================] - 0s 2ms/step - loss: 176.7137 - val_loss: 173.6121
Epoch 171/500
29/29 [==============================] - 0s 2ms/step - loss: 173.3888 - val_loss: 171.2285
Epoch 172/500
29/29 [==============================] - 0s 2ms/step - loss: 169.8437 - val_loss: 166.3492
Epoch 173/500
29/29 [==============================] - 0s 2ms/step - loss: 166.0523 - val_loss: 163.7820
Epoch 174/500
29/29 [==============================] - 0s 2ms/step - loss: 162.9157 - val_loss: 159.9813
Epoch 175/500
29/29 [==============================] - 0s 2ms/step - loss: 160.9886 - val_loss: 155.9938
Epoch 176/500
29/29 [==============================] - 0s 2ms/step - loss: 157.1967 - val_loss: 154.0053
Epoch 177/500
29/29 [==============================] - 0s 2ms/step - loss: 153.1251 - val_loss: 149.6915
Epoch 178/500
29/29 [==============================] - 0s 2ms/step - loss: 150.3645 - val_loss: 146.3154
Epoch 179/500
29/29 [==============================] - 0s 2ms/step - loss: 147.3225 - val_loss: 144.0070
Epoch 180/500
29/29 [==============================] - 0s 2ms/step - loss: 144.3733 - val_loss: 140.6223
Epoch 181/500
29/29 [==============================] - 0s 1ms/step - loss: 141.5297 - val_loss: 137.7748
Epoch 182/500
29/29 [==============================] - 0s 2ms/step - loss: 138.8038 - val_loss: 135.1384
Epoch 183/500
29/29 [==============================] - 0s 2ms/step - loss: 136.2652 - val_loss: 131.8684
Epoch 184/500
29/29 [==============================] - 0s 2ms/step - loss: 133.3879 - val_loss: 129.3683
Epoch 185/500
29/29 [==============================] - 0s 2ms/step - loss: 130.8174 - val_loss: 126.7022
Epoch 186/500
29/29 [==============================] - 0s 2ms/step - loss: 128.6375 - val_loss: 124.6342
Epoch 187/500
29/29 [==============================] - 0s 2ms/step - loss: 125.9802 - val_loss: 121.3703
Epoch 188/500
29/29 [==============================] - 0s 2ms/step - loss: 123.5853 - val_loss: 118.5878
Epoch 189/500
29/29 [==============================] - 0s 2ms/step - loss: 121.2286 - val_loss: 116.4200
Epoch 190/500
29/29 [==============================] - 0s 2ms/step - loss: 118.9618 - val_loss: 114.1176
Epoch 191/500
29/29 [==============================] - 0s 2ms/step - loss: 116.6758 - val_loss: 111.7701
Epoch 192/500
29/29 [==============================] - 0s 2ms/step - loss: 114.8703 - val_loss: 109.5641
Epoch 193/500
29/29 [==============================] - 0s 2ms/step - loss: 112.3118 - val_loss: 108.2576
Epoch 194/500
29/29 [==============================] - 0s 2ms/step - loss: 110.4374 - val_loss: 105.5612
Epoch 195/500
29/29 [==============================] - 0s 2ms/step - loss: 108.3065 - val_loss: 103.0441
Epoch 196/500
29/29 [==============================] - 0s 3ms/step - loss: 106.2682 - val_loss: 101.4114
Epoch 197/500
29/29 [==============================] - 0s 2ms/step - loss: 104.4079 - val_loss: 100.2140
Epoch 198/500
29/29 [==============================] - 0s 2ms/step - loss: 102.4332 - val_loss: 96.4736
Epoch 199/500
29/29 [==============================] - 0s 2ms/step - loss: 100.7280 - val_loss: 95.0646
Epoch 200/500
29/29 [==============================] - 0s 2ms/step - loss: 99.1306 - val_loss: 93.8433
Epoch 201/500
29/29 [==============================] - 0s 2ms/step - loss: 97.1000 - val_loss: 91.3340
Epoch 202/500
29/29 [==============================] - 0s 2ms/step - loss: 95.7761 - val_loss: 89.6681
Epoch 203/500
29/29 [==============================] - 0s 2ms/step - loss: 93.6275 - val_loss: 87.4034
Epoch 204/500
29/29 [==============================] - 0s 2ms/step - loss: 91.9752 - val_loss: 86.6660
Epoch 205/500
29/29 [==============================] - 0s 2ms/step - loss: 90.3721 - val_loss: 84.3556
Epoch 206/500
29/29 [==============================] - 0s 2ms/step - loss: 88.9314 - val_loss: 82.6616
Epoch 207/500
29/29 [==============================] - 0s 2ms/step - loss: 87.6231 - val_loss: 81.1973
Epoch 208/500
29/29 [==============================] - 0s 2ms/step - loss: 85.9751 - val_loss: 80.0047
Epoch 209/500
29/29 [==============================] - 0s 2ms/step - loss: 84.5808 - val_loss: 78.3652
Epoch 210/500
29/29 [==============================] - 0s 2ms/step - loss: 83.4573 - val_loss: 77.5051
Epoch 211/500
29/29 [==============================] - 0s 2ms/step - loss: 81.9850 - val_loss: 75.6397
Epoch 212/500
29/29 [==============================] - 0s 2ms/step - loss: 80.8040 - val_loss: 73.9345
Epoch 213/500
29/29 [==============================] - 0s 2ms/step - loss: 79.9446 - val_loss: 73.0228
Epoch 214/500
29/29 [==============================] - 0s 2ms/step - loss: 78.3377 - val_loss: 72.6250
Epoch 215/500
29/29 [==============================] - 0s 2ms/step - loss: 77.2487 - val_loss: 69.7800
Epoch 216/500
29/29 [==============================] - 0s 2ms/step - loss: 75.7904 - val_loss: 69.7151
Epoch 217/500
29/29 [==============================] - 0s 2ms/step - loss: 74.5332 - val_loss: 67.6307
Epoch 218/500
29/29 [==============================] - 0s 2ms/step - loss: 73.7103 - val_loss: 66.7015
Epoch 219/500
29/29 [==============================] - 0s 2ms/step - loss: 72.4603 - val_loss: 65.8582
Epoch 220/500
29/29 [==============================] - 0s 2ms/step - loss: 71.6762 - val_loss: 64.2899
Epoch 221/500
29/29 [==============================] - 0s 2ms/step - loss: 70.3667 - val_loss: 64.0958
Epoch 222/500
29/29 [==============================] - 0s 2ms/step - loss: 69.6462 - val_loss: 62.5153
Epoch 223/500
29/29 [==============================] - 0s 2ms/step - loss: 68.6055 - val_loss: 61.3690
Epoch 224/500
29/29 [==============================] - 0s 2ms/step - loss: 67.5894 - val_loss: 60.5636
Epoch 225/500
29/29 [==============================] - 0s 2ms/step - loss: 66.7358 - val_loss: 59.0406
Epoch 226/500
29/29 [==============================] - 0s 2ms/step - loss: 66.0129 - val_loss: 58.6373
Epoch 227/500
29/29 [==============================] - 0s 2ms/step - loss: 65.2855 - val_loss: 58.2509
Epoch 228/500
29/29 [==============================] - 0s 2ms/step - loss: 64.4218 - val_loss: 56.4000
Epoch 229/500
29/29 [==============================] - 0s 2ms/step - loss: 63.3950 - val_loss: 56.2011
Epoch 230/500
29/29 [==============================] - 0s 2ms/step - loss: 62.5644 - val_loss: 54.9286
Epoch 231/500
29/29 [==============================] - 0s 2ms/step - loss: 61.8529 - val_loss: 54.1185
Epoch 232/500
29/29 [==============================] - 0s 2ms/step - loss: 61.2451 - val_loss: 53.4293
Epoch 233/500
29/29 [==============================] - 0s 2ms/step - loss: 60.5250 - val_loss: 52.8995
Epoch 234/500
29/29 [==============================] - 0s 2ms/step - loss: 59.7294 - val_loss: 52.0061
Epoch 235/500
29/29 [==============================] - 0s 2ms/step - loss: 59.2474 - val_loss: 51.0419
Epoch 236/500
29/29 [==============================] - 0s 2ms/step - loss: 58.3695 - val_loss: 50.7996
Epoch 237/500
29/29 [==============================] - 0s 4ms/step - loss: 58.0285 - val_loss: 49.9001
Epoch 238/500
29/29 [==============================] - 0s 2ms/step - loss: 57.2719 - val_loss: 49.4728
Epoch 239/500
29/29 [==============================] - 0s 2ms/step - loss: 56.6511 - val_loss: 48.6389
Epoch 240/500
29/29 [==============================] - 0s 2ms/step - loss: 56.2103 - val_loss: 48.3943
Epoch 241/500
29/29 [==============================] - 0s 2ms/step - loss: 55.8617 - val_loss: 47.1499
Epoch 242/500
29/29 [==============================] - 0s 2ms/step - loss: 55.1666 - val_loss: 46.8120
Epoch 243/500
29/29 [==============================] - 0s 2ms/step - loss: 54.4726 - val_loss: 45.7920
Epoch 244/500
29/29 [==============================] - 0s 2ms/step - loss: 53.9119 - val_loss: 45.7329
Epoch 245/500
29/29 [==============================] - 0s 2ms/step - loss: 53.5586 - val_loss: 45.2719
Epoch 246/500
29/29 [==============================] - 0s 2ms/step - loss: 53.0513 - val_loss: 44.9459
Epoch 247/500
29/29 [==============================] - 0s 2ms/step - loss: 52.6341 - val_loss: 43.8916
Epoch 248/500
29/29 [==============================] - 0s 2ms/step - loss: 52.2002 - val_loss: 44.2818
Epoch 249/500
29/29 [==============================] - 0s 2ms/step - loss: 51.7024 - val_loss: 42.7963
Epoch 250/500
29/29 [==============================] - 0s 2ms/step - loss: 51.1374 - val_loss: 42.6212
Epoch 251/500
29/29 [==============================] - 0s 2ms/step - loss: 50.8179 - val_loss: 42.1120
Epoch 252/500
29/29 [==============================] - 0s 2ms/step - loss: 50.4023 - val_loss: 41.6028
Epoch 253/500
29/29 [==============================] - 0s 2ms/step - loss: 49.8145 - val_loss: 41.6270
Epoch 254/500
29/29 [==============================] - 0s 2ms/step - loss: 49.6155 - val_loss: 40.5161
Epoch 255/500
29/29 [==============================] - 0s 2ms/step - loss: 49.0654 - val_loss: 40.7920
Epoch 256/500
29/29 [==============================] - 0s 2ms/step - loss: 48.8306 - val_loss: 40.1855
Epoch 257/500
29/29 [==============================] - 0s 2ms/step - loss: 48.6291 - val_loss: 39.6028
Epoch 258/500
29/29 [==============================] - 0s 2ms/step - loss: 48.3394 - val_loss: 39.1257
Epoch 259/500
29/29 [==============================] - 0s 2ms/step - loss: 47.8117 - val_loss: 39.7994
Epoch 260/500
29/29 [==============================] - 0s 2ms/step - loss: 47.6733 - val_loss: 38.7853
Epoch 261/500
29/29 [==============================] - 0s 2ms/step - loss: 47.2275 - val_loss: 38.1987
Epoch 262/500
29/29 [==============================] - 0s 2ms/step - loss: 46.8869 - val_loss: 37.7920
Epoch 263/500
29/29 [==============================] - 0s 2ms/step - loss: 46.6675 - val_loss: 37.5494
Epoch 264/500
29/29 [==============================] - 0s 2ms/step - loss: 46.2835 - val_loss: 37.1195
Epoch 265/500
29/29 [==============================] - 0s 2ms/step - loss: 46.1372 - val_loss: 37.5429
Epoch 266/500
29/29 [==============================] - 0s 2ms/step - loss: 45.8384 - val_loss: 36.0256
Epoch 267/500
29/29 [==============================] - 0s 2ms/step - loss: 45.8314 - val_loss: 36.1488
Epoch 268/500
29/29 [==============================] - 0s 2ms/step - loss: 45.2373 - val_loss: 35.9305
Epoch 269/500
29/29 [==============================] - 0s 2ms/step - loss: 44.9918 - val_loss: 35.8090
Epoch 270/500
29/29 [==============================] - 0s 2ms/step - loss: 44.8019 - val_loss: 35.6934
Epoch 271/500
29/29 [==============================] - 0s 4ms/step - loss: 44.5866 - val_loss: 35.3004
Epoch 272/500
29/29 [==============================] - 0s 3ms/step - loss: 44.3609 - val_loss: 34.9115
Epoch 273/500
29/29 [==============================] - 0s 2ms/step - loss: 43.9720 - val_loss: 34.6223
Epoch 274/500
29/29 [==============================] - 0s 2ms/step - loss: 43.7652 - val_loss: 34.6065
Epoch 275/500
29/29 [==============================] - 0s 2ms/step - loss: 43.5259 - val_loss: 35.0064
Epoch 276/500
29/29 [==============================] - 0s 2ms/step - loss: 43.5175 - val_loss: 34.1503
Epoch 277/500
29/29 [==============================] - 0s 2ms/step - loss: 43.1613 - val_loss: 34.3347
Epoch 278/500
29/29 [==============================] - 0s 2ms/step - loss: 43.1488 - val_loss: 33.5902
Epoch 279/500
29/29 [==============================] - 0s 2ms/step - loss: 42.7430 - val_loss: 34.0748
Epoch 280/500
29/29 [==============================] - 0s 2ms/step - loss: 42.5729 - val_loss: 33.3054
Epoch 281/500
29/29 [==============================] - 0s 2ms/step - loss: 42.4526 - val_loss: 33.1274
Epoch 282/500
29/29 [==============================] - 0s 2ms/step - loss: 42.1300 - val_loss: 32.5912
Epoch 283/500
29/29 [==============================] - 0s 2ms/step - loss: 41.9059 - val_loss: 32.8966
Epoch 284/500
29/29 [==============================] - 0s 2ms/step - loss: 41.8889 - val_loss: 32.9406
Epoch 285/500
29/29 [==============================] - 0s 2ms/step - loss: 41.7101 - val_loss: 32.4952
Epoch 286/500
29/29 [==============================] - 0s 2ms/step - loss: 41.2828 - val_loss: 31.6448
Epoch 287/500
29/29 [==============================] - 0s 2ms/step - loss: 41.2348 - val_loss: 31.6794
Epoch 288/500
29/29 [==============================] - 0s 2ms/step - loss: 40.9772 - val_loss: 31.5594
Epoch 289/500
29/29 [==============================] - 0s 2ms/step - loss: 40.8065 - val_loss: 32.0954
Epoch 290/500
29/29 [==============================] - 0s 2ms/step - loss: 40.9658 - val_loss: 31.0535
Epoch 291/500
29/29 [==============================] - 0s 2ms/step - loss: 40.3547 - val_loss: 31.7456
Epoch 292/500
29/29 [==============================] - 0s 2ms/step - loss: 40.4211 - val_loss: 31.0232
Epoch 293/500
29/29 [==============================] - 0s 2ms/step - loss: 40.2768 - val_loss: 30.7366
Epoch 294/500
29/29 [==============================] - 0s 2ms/step - loss: 40.0660 - val_loss: 30.5943
Epoch 295/500
29/29 [==============================] - 0s 2ms/step - loss: 40.1235 - val_loss: 30.9158
Epoch 296/500
29/29 [==============================] - 0s 2ms/step - loss: 39.6453 - val_loss: 30.4326
Epoch 297/500
29/29 [==============================] - 0s 2ms/step - loss: 39.5707 - val_loss: 30.1919
Epoch 298/500
29/29 [==============================] - 0s 2ms/step - loss: 39.4211 - val_loss: 30.1025
Epoch 299/500
29/29 [==============================] - 0s 3ms/step - loss: 39.0226 - val_loss: 29.5747
Epoch 300/500
29/29 [==============================] - 0s 3ms/step - loss: 39.0544 - val_loss: 29.6719
Epoch 301/500
29/29 [==============================] - 0s 4ms/step - loss: 38.7256 - val_loss: 29.5974
Epoch 302/500
29/29 [==============================] - 0s 6ms/step - loss: 38.8302 - val_loss: 29.0221
Epoch 303/500
29/29 [==============================] - 0s 6ms/step - loss: 38.4975 - val_loss: 29.4009
Epoch 304/500
29/29 [==============================] - 0s 4ms/step - loss: 38.3786 - val_loss: 29.1675
Epoch 305/500
29/29 [==============================] - 0s 3ms/step - loss: 38.2111 - val_loss: 29.4853
Epoch 306/500
29/29 [==============================] - 0s 2ms/step - loss: 38.0543 - val_loss: 28.7177
Epoch 307/500
29/29 [==============================] - 0s 2ms/step - loss: 37.9855 - val_loss: 28.4206
Epoch 308/500
29/29 [==============================] - 0s 2ms/step - loss: 37.7894 - val_loss: 28.8997
Epoch 309/500
29/29 [==============================] - 0s 2ms/step - loss: 37.6178 - val_loss: 29.0298
Epoch 310/500
29/29 [==============================] - 0s 2ms/step - loss: 38.0056 - val_loss: 28.7352
Epoch 311/500
29/29 [==============================] - 0s 2ms/step - loss: 37.4505 - val_loss: 27.8328
Epoch 312/500
29/29 [==============================] - 0s 2ms/step - loss: 37.2800 - val_loss: 28.9882
Epoch 313/500
29/29 [==============================] - 0s 2ms/step - loss: 36.8747 - val_loss: 27.7738
Epoch 314/500
29/29 [==============================] - 0s 2ms/step - loss: 36.8847 - val_loss: 27.6791
Epoch 315/500
29/29 [==============================] - 0s 2ms/step - loss: 36.6659 - val_loss: 27.5069
Epoch 316/500
29/29 [==============================] - 0s 2ms/step - loss: 36.4990 - val_loss: 27.5838
Epoch 317/500
29/29 [==============================] - 0s 2ms/step - loss: 36.4093 - val_loss: 27.2541
Epoch 318/500
29/29 [==============================] - 0s 2ms/step - loss: 36.2249 - val_loss: 27.3061
Epoch 319/500
29/29 [==============================] - 0s 2ms/step - loss: 36.1874 - val_loss: 26.7978
Epoch 320/500
29/29 [==============================] - 0s 2ms/step - loss: 35.9501 - val_loss: 26.6303
Epoch 321/500
29/29 [==============================] - 0s 2ms/step - loss: 35.8389 - val_loss: 27.3735
Epoch 322/500
29/29 [==============================] - 0s 2ms/step - loss: 35.9897 - val_loss: 27.1506
Epoch 323/500
29/29 [==============================] - 0s 2ms/step - loss: 35.5521 - val_loss: 26.6082
Epoch 324/500
29/29 [==============================] - 0s 2ms/step - loss: 35.5140 - val_loss: 26.5224
Epoch 325/500
29/29 [==============================] - 0s 2ms/step - loss: 35.1787 - val_loss: 26.2476
Epoch 326/500
29/29 [==============================] - 0s 5ms/step - loss: 35.0533 - val_loss: 26.1806
Epoch 327/500
29/29 [==============================] - 0s 2ms/step - loss: 35.0767 - val_loss: 26.7609
Epoch 328/500
29/29 [==============================] - 0s 2ms/step - loss: 34.8832 - val_loss: 25.7055
Epoch 329/500
29/29 [==============================] - 0s 2ms/step - loss: 34.7534 - val_loss: 25.8820
Epoch 330/500
29/29 [==============================] - 0s 3ms/step - loss: 34.4893 - val_loss: 26.0371
Epoch 331/500
29/29 [==============================] - 0s 4ms/step - loss: 34.4073 - val_loss: 25.9192
Epoch 332/500
29/29 [==============================] - 0s 2ms/step - loss: 34.2988 - val_loss: 25.0519
Epoch 333/500
29/29 [==============================] - 0s 2ms/step - loss: 34.2199 - val_loss: 25.3435
Epoch 334/500
29/29 [==============================] - 0s 3ms/step - loss: 34.1482 - val_loss: 25.7189
Epoch 335/500
29/29 [==============================] - 0s 2ms/step - loss: 33.9058 - val_loss: 24.8220
Epoch 336/500
29/29 [==============================] - 0s 2ms/step - loss: 33.8079 - val_loss: 25.2426
Epoch 337/500
29/29 [==============================] - 0s 2ms/step - loss: 33.7137 - val_loss: 24.9097
Epoch 338/500
29/29 [==============================] - 0s 2ms/step - loss: 33.5206 - val_loss: 25.0674
Epoch 339/500
29/29 [==============================] - 0s 2ms/step - loss: 33.4028 - val_loss: 24.8809
Epoch 340/500
29/29 [==============================] - 0s 2ms/step - loss: 33.3334 - val_loss: 24.3445
Epoch 341/500
29/29 [==============================] - 0s 2ms/step - loss: 33.6379 - val_loss: 25.0268
Epoch 342/500
29/29 [==============================] - 0s 2ms/step - loss: 33.1380 - val_loss: 24.5591
Epoch 343/500
29/29 [==============================] - 0s 2ms/step - loss: 32.8353 - val_loss: 24.0849
Epoch 344/500
29/29 [==============================] - 0s 2ms/step - loss: 32.9220 - val_loss: 23.9808
Epoch 345/500
29/29 [==============================] - 0s 2ms/step - loss: 33.1605 - val_loss: 24.2335
Epoch 346/500
29/29 [==============================] - 0s 2ms/step - loss: 32.5025 - val_loss: 23.9256
Epoch 347/500
29/29 [==============================] - 0s 2ms/step - loss: 32.4329 - val_loss: 24.1232
Epoch 348/500
29/29 [==============================] - 0s 2ms/step - loss: 32.2435 - val_loss: 23.8685
Epoch 349/500
29/29 [==============================] - 0s 2ms/step - loss: 32.1727 - val_loss: 23.7694
Epoch 350/500
29/29 [==============================] - 0s 2ms/step - loss: 32.0019 - val_loss: 23.5091
Epoch 351/500
29/29 [==============================] - 0s 3ms/step - loss: 32.0555 - val_loss: 23.8935
Epoch 352/500
29/29 [==============================] - 0s 3ms/step - loss: 31.7760 - val_loss: 22.9062
Epoch 353/500
29/29 [==============================] - 0s 2ms/step - loss: 31.8095 - val_loss: 23.3236
Epoch 354/500
29/29 [==============================] - 0s 2ms/step - loss: 31.5126 - val_loss: 22.7621
Epoch 355/500
29/29 [==============================] - 0s 3ms/step - loss: 31.3707 - val_loss: 22.9370
Epoch 356/500
29/29 [==============================] - 0s 3ms/step - loss: 31.3335 - val_loss: 23.3751
Epoch 357/500
29/29 [==============================] - 0s 4ms/step - loss: 31.2520 - val_loss: 22.7329
Epoch 358/500
29/29 [==============================] - 0s 2ms/step - loss: 31.0074 - val_loss: 23.1973
Epoch 359/500
29/29 [==============================] - 0s 2ms/step - loss: 30.7725 - val_loss: 22.4257
Epoch 360/500
29/29 [==============================] - 0s 2ms/step - loss: 30.7417 - val_loss: 22.5226
Epoch 361/500
29/29 [==============================] - 0s 2ms/step - loss: 30.8818 - val_loss: 22.3445
Epoch 362/500
29/29 [==============================] - 0s 2ms/step - loss: 30.4737 - val_loss: 22.1195
Epoch 363/500
29/29 [==============================] - 0s 2ms/step - loss: 30.2807 - val_loss: 22.3079
Epoch 364/500
29/29 [==============================] - 0s 2ms/step - loss: 30.2258 - val_loss: 22.0521
Epoch 365/500
29/29 [==============================] - 0s 3ms/step - loss: 30.1512 - val_loss: 21.6748
Epoch 366/500
29/29 [==============================] - 0s 3ms/step - loss: 29.9980 - val_loss: 21.9181
Epoch 367/500
29/29 [==============================] - 0s 3ms/step - loss: 29.9543 - val_loss: 21.6361
Epoch 368/500
29/29 [==============================] - 0s 4ms/step - loss: 29.7904 - val_loss: 21.9046
Epoch 369/500
29/29 [==============================] - 0s 4ms/step - loss: 29.6907 - val_loss: 21.4158
Epoch 370/500
29/29 [==============================] - 0s 4ms/step - loss: 29.6843 - val_loss: 21.2678
Epoch 371/500
29/29 [==============================] - 0s 3ms/step - loss: 29.8199 - val_loss: 21.2533
Epoch 372/500
29/29 [==============================] - 0s 4ms/step - loss: 29.4302 - val_loss: 21.2243
Epoch 373/500
29/29 [==============================] - 0s 4ms/step - loss: 29.3998 - val_loss: 21.1429
Epoch 374/500
29/29 [==============================] - 0s 4ms/step - loss: 29.1452 - val_loss: 21.3458
Epoch 375/500
29/29 [==============================] - 0s 3ms/step - loss: 29.0718 - val_loss: 21.2869
Epoch 376/500
29/29 [==============================] - ETA: 0s - loss: 17.37 - 0s 3ms/step - loss: 28.9796 - val_loss: 20.9749
Epoch 377/500
29/29 [==============================] - 0s 4ms/step - loss: 28.8189 - val_loss: 21.3168
Epoch 378/500
29/29 [==============================] - 0s 4ms/step - loss: 28.6705 - val_loss: 20.7469
Epoch 379/500
29/29 [==============================] - 0s 5ms/step - loss: 28.5183 - val_loss: 21.3748
Epoch 380/500
29/29 [==============================] - 0s 4ms/step - loss: 28.4927 - val_loss: 20.6447
Epoch 381/500
29/29 [==============================] - 0s 5ms/step - loss: 28.3362 - val_loss: 20.5702
Epoch 382/500
29/29 [==============================] - 0s 4ms/step - loss: 28.4978 - val_loss: 21.3038
Epoch 383/500
29/29 [==============================] - 0s 12ms/step - loss: 28.0733 - val_loss: 20.2312
Epoch 384/500
29/29 [==============================] - 0s 3ms/step - loss: 28.0000 - val_loss: 20.5213
Epoch 385/500
29/29 [==============================] - 0s 2ms/step - loss: 27.8806 - val_loss: 20.0974
Epoch 386/500
29/29 [==============================] - 0s 2ms/step - loss: 27.7902 - val_loss: 20.2393
Epoch 387/500
29/29 [==============================] - 0s 2ms/step - loss: 27.6404 - val_loss: 20.3656
Epoch 388/500
29/29 [==============================] - 0s 3ms/step - loss: 27.9682 - val_loss: 20.5843
Epoch 389/500
29/29 [==============================] - 0s 2ms/step - loss: 27.4627 - val_loss: 19.9088
Epoch 390/500
29/29 [==============================] - 0s 2ms/step - loss: 27.4111 - val_loss: 19.9998
Epoch 391/500
29/29 [==============================] - 0s 3ms/step - loss: 27.2935 - val_loss: 19.6232
Epoch 392/500
29/29 [==============================] - 0s 3ms/step - loss: 27.3233 - val_loss: 19.3984
Epoch 393/500
29/29 [==============================] - 0s 4ms/step - loss: 27.1161 - val_loss: 19.6652
Epoch 394/500
29/29 [==============================] - 0s 4ms/step - loss: 26.9391 - val_loss: 19.8048
Epoch 395/500
29/29 [==============================] - 0s 4ms/step - loss: 26.9521 - val_loss: 19.5413
Epoch 396/500
29/29 [==============================] - 0s 3ms/step - loss: 26.7854 - val_loss: 19.5926
Epoch 397/500
29/29 [==============================] - 0s 5ms/step - loss: 26.8289 - val_loss: 19.2837
Epoch 398/500
29/29 [==============================] - 0s 2ms/step - loss: 26.6503 - val_loss: 19.2767
Epoch 399/500
29/29 [==============================] - 0s 2ms/step - loss: 26.6484 - val_loss: 19.7538
Epoch 400/500
29/29 [==============================] - 0s 2ms/step - loss: 26.4218 - val_loss: 19.2955
Epoch 401/500
29/29 [==============================] - 0s 3ms/step - loss: 26.3357 - val_loss: 19.1241
Epoch 402/500
29/29 [==============================] - 0s 2ms/step - loss: 26.2227 - val_loss: 18.9422
Epoch 403/500
29/29 [==============================] - 0s 2ms/step - loss: 26.3699 - val_loss: 19.3730
Epoch 404/500
29/29 [==============================] - 0s 2ms/step - loss: 26.2292 - val_loss: 18.7602
Epoch 405/500
29/29 [==============================] - 0s 4ms/step - loss: 26.0304 - val_loss: 19.0234
Epoch 406/500
29/29 [==============================] - 0s 4ms/step - loss: 26.0735 - val_loss: 18.8651
Epoch 407/500
29/29 [==============================] - 0s 4ms/step - loss: 25.9564 - val_loss: 18.7296
Epoch 408/500
29/29 [==============================] - 0s 2ms/step - loss: 25.8414 - val_loss: 18.6334
Epoch 409/500
29/29 [==============================] - 0s 2ms/step - loss: 25.9983 - val_loss: 18.3129
Epoch 410/500
29/29 [==============================] - 0s 2ms/step - loss: 25.6602 - val_loss: 18.5767
Epoch 411/500
29/29 [==============================] - 0s 2ms/step - loss: 25.8030 - val_loss: 18.8558
Epoch 412/500
29/29 [==============================] - 0s 2ms/step - loss: 25.5307 - val_loss: 18.8081
Epoch 413/500
29/29 [==============================] - 0s 3ms/step - loss: 25.9376 - val_loss: 19.1711
Epoch 414/500
29/29 [==============================] - 0s 2ms/step - loss: 25.4855 - val_loss: 18.6325
Epoch 415/500
29/29 [==============================] - 0s 2ms/step - loss: 25.3511 - val_loss: 18.3043
Epoch 416/500
29/29 [==============================] - 0s 2ms/step - loss: 25.1814 - val_loss: 18.1534
Epoch 417/500
29/29 [==============================] - 0s 2ms/step - loss: 25.0297 - val_loss: 18.1847
Epoch 418/500
29/29 [==============================] - 0s 2ms/step - loss: 25.0712 - val_loss: 18.5052
Epoch 419/500
29/29 [==============================] - 0s 3ms/step - loss: 24.8882 - val_loss: 18.4066
Epoch 420/500
29/29 [==============================] - 0s 2ms/step - loss: 24.7556 - val_loss: 18.1640
Epoch 421/500
29/29 [==============================] - 0s 2ms/step - loss: 24.7102 - val_loss: 18.2416
Epoch 422/500
29/29 [==============================] - 0s 2ms/step - loss: 24.6393 - val_loss: 17.9791
Epoch 423/500
29/29 [==============================] - 0s 2ms/step - loss: 24.5513 - val_loss: 17.9779
Epoch 424/500
29/29 [==============================] - 0s 2ms/step - loss: 24.5456 - val_loss: 18.0125
Epoch 425/500
29/29 [==============================] - 0s 2ms/step - loss: 24.4709 - val_loss: 18.0538
Epoch 426/500
29/29 [==============================] - 0s 2ms/step - loss: 24.5856 - val_loss: 17.8691
Epoch 427/500
29/29 [==============================] - 0s 3ms/step - loss: 24.2813 - val_loss: 18.0834
Epoch 428/500
29/29 [==============================] - 0s 2ms/step - loss: 24.2067 - val_loss: 17.8744
Epoch 429/500
29/29 [==============================] - 0s 2ms/step - loss: 24.1549 - val_loss: 17.6452
Epoch 430/500
29/29 [==============================] - 0s 2ms/step - loss: 24.1612 - val_loss: 18.0984
Epoch 431/500
29/29 [==============================] - 0s 2ms/step - loss: 24.0033 - val_loss: 17.7040
Epoch 432/500
29/29 [==============================] - 0s 2ms/step - loss: 23.9510 - val_loss: 17.3116
Epoch 433/500
29/29 [==============================] - 0s 2ms/step - loss: 23.9294 - val_loss: 17.9605
Epoch 434/500
29/29 [==============================] - 0s 2ms/step - loss: 23.7771 - val_loss: 17.1321
Epoch 435/500
29/29 [==============================] - 0s 2ms/step - loss: 23.7488 - val_loss: 18.0067
Epoch 436/500
29/29 [==============================] - 0s 2ms/step - loss: 23.7812 - val_loss: 17.4333
Epoch 437/500
29/29 [==============================] - 0s 3ms/step - loss: 23.7510 - val_loss: 17.5995
Epoch 438/500
29/29 [==============================] - 0s 3ms/step - loss: 23.5739 - val_loss: 17.3451
Epoch 439/500
29/29 [==============================] - 0s 2ms/step - loss: 23.5143 - val_loss: 17.0918
Epoch 440/500
29/29 [==============================] - 0s 2ms/step - loss: 23.4211 - val_loss: 17.1767
Epoch 441/500
29/29 [==============================] - 0s 2ms/step - loss: 23.6710 - val_loss: 16.9083
Epoch 442/500
29/29 [==============================] - 0s 2ms/step - loss: 23.4765 - val_loss: 17.3796
Epoch 443/500
29/29 [==============================] - 0s 2ms/step - loss: 23.2093 - val_loss: 16.8384
Epoch 444/500
29/29 [==============================] - 0s 2ms/step - loss: 23.2276 - val_loss: 16.9239
Epoch 445/500
29/29 [==============================] - 0s 2ms/step - loss: 23.1215 - val_loss: 16.9847
Epoch 446/500
29/29 [==============================] - 0s 2ms/step - loss: 23.1228 - val_loss: 17.0974
Epoch 447/500
29/29 [==============================] - 0s 2ms/step - loss: 23.0491 - val_loss: 16.9610
Epoch 448/500
29/29 [==============================] - 0s 2ms/step - loss: 23.0356 - val_loss: 17.2738
Epoch 449/500
29/29 [==============================] - 0s 2ms/step - loss: 22.9693 - val_loss: 16.6928
Epoch 450/500
29/29 [==============================] - 0s 2ms/step - loss: 22.7858 - val_loss: 17.4685
Epoch 451/500
29/29 [==============================] - 0s 2ms/step - loss: 23.0099 - val_loss: 16.8181
Epoch 452/500
29/29 [==============================] - 0s 2ms/step - loss: 22.7282 - val_loss: 16.8549
Epoch 453/500
29/29 [==============================] - 0s 2ms/step - loss: 22.6392 - val_loss: 16.7393
Epoch 454/500
29/29 [==============================] - 0s 2ms/step - loss: 22.8665 - val_loss: 16.8175
Epoch 455/500
29/29 [==============================] - 0s 2ms/step - loss: 22.7289 - val_loss: 17.0197
Epoch 456/500
29/29 [==============================] - 0s 6ms/step - loss: 22.5998 - val_loss: 17.0795
Epoch 457/500
29/29 [==============================] - 0s 4ms/step - loss: 22.6289 - val_loss: 16.7430
Epoch 458/500
29/29 [==============================] - 0s 3ms/step - loss: 22.4562 - val_loss: 16.7868
Epoch 459/500
29/29 [==============================] - 0s 2ms/step - loss: 22.3855 - val_loss: 16.2668
Epoch 460/500
29/29 [==============================] - 0s 2ms/step - loss: 22.3541 - val_loss: 16.5048
Epoch 461/500
29/29 [==============================] - 0s 3ms/step - loss: 22.4757 - val_loss: 16.1232
Epoch 462/500
29/29 [==============================] - 0s 2ms/step - loss: 22.3701 - val_loss: 16.5438
Epoch 463/500
29/29 [==============================] - 0s 4ms/step - loss: 22.2153 - val_loss: 16.2483
Epoch 464/500
29/29 [==============================] - 0s 2ms/step - loss: 22.2694 - val_loss: 16.3775
Epoch 465/500
29/29 [==============================] - 0s 2ms/step - loss: 22.1137 - val_loss: 16.0512
Epoch 466/500
29/29 [==============================] - 0s 4ms/step - loss: 21.9826 - val_loss: 16.3077
Epoch 467/500
29/29 [==============================] - 0s 5ms/step - loss: 21.9878 - val_loss: 16.2729
Epoch 468/500
29/29 [==============================] - 0s 2ms/step - loss: 22.0680 - val_loss: 16.0657
Epoch 469/500
29/29 [==============================] - 0s 2ms/step - loss: 21.9439 - val_loss: 16.1296
Epoch 470/500
29/29 [==============================] - 0s 2ms/step - loss: 21.9718 - val_loss: 16.4500
Epoch 471/500
29/29 [==============================] - 0s 2ms/step - loss: 21.7866 - val_loss: 15.8653
Epoch 472/500
29/29 [==============================] - 0s 3ms/step - loss: 21.8536 - val_loss: 15.9952
Epoch 473/500
29/29 [==============================] - 0s 3ms/step - loss: 21.7282 - val_loss: 16.0847
Epoch 474/500
29/29 [==============================] - 0s 2ms/step - loss: 21.6517 - val_loss: 15.9146
Epoch 475/500
29/29 [==============================] - 0s 2ms/step - loss: 21.7232 - val_loss: 16.2295
Epoch 476/500
29/29 [==============================] - 0s 2ms/step - loss: 21.6347 - val_loss: 16.1516
Epoch 477/500
29/29 [==============================] - 0s 2ms/step - loss: 21.5861 - val_loss: 15.9505
Epoch 478/500
29/29 [==============================] - 0s 2ms/step - loss: 21.5262 - val_loss: 16.0047
Epoch 479/500
29/29 [==============================] - 0s 2ms/step - loss: 21.5279 - val_loss: 16.0386
Epoch 480/500
29/29 [==============================] - 0s 2ms/step - loss: 21.4681 - val_loss: 15.8589
Epoch 481/500
29/29 [==============================] - 0s 2ms/step - loss: 21.4377 - val_loss: 15.8501
Epoch 482/500
29/29 [==============================] - 0s 2ms/step - loss: 21.3180 - val_loss: 15.9726
Epoch 483/500
29/29 [==============================] - 0s 2ms/step - loss: 21.3196 - val_loss: 15.7703
Epoch 484/500
29/29 [==============================] - 0s 1ms/step - loss: 21.2896 - val_loss: 15.7149
Epoch 485/500
29/29 [==============================] - 0s 2ms/step - loss: 21.1718 - val_loss: 15.8248
Epoch 486/500
29/29 [==============================] - 0s 2ms/step - loss: 21.1153 - val_loss: 15.8497
Epoch 487/500
29/29 [==============================] - 0s 2ms/step - loss: 21.1279 - val_loss: 15.7033
Epoch 488/500
29/29 [==============================] - 0s 2ms/step - loss: 21.1147 - val_loss: 15.5262
Epoch 489/500
29/29 [==============================] - 0s 1ms/step - loss: 21.0933 - val_loss: 15.4661
Epoch 490/500
29/29 [==============================] - 0s 1ms/step - loss: 21.0083 - val_loss: 15.6176
Epoch 491/500
29/29 [==============================] - 0s 2ms/step - loss: 21.0554 - val_loss: 15.5800
Epoch 492/500
29/29 [==============================] - 0s 2ms/step - loss: 20.9022 - val_loss: 15.6144
Epoch 493/500
29/29 [==============================] - 0s 2ms/step - loss: 20.8943 - val_loss: 15.4181
Epoch 494/500
29/29 [==============================] - 0s 1ms/step - loss: 20.8661 - val_loss: 15.5541
Epoch 495/500
29/29 [==============================] - 0s 2ms/step - loss: 20.8616 - val_loss: 15.7390
Epoch 496/500
29/29 [==============================] - 0s 1ms/step - loss: 20.8140 - val_loss: 15.6409
Epoch 497/500
29/29 [==============================] - 0s 2ms/step - loss: 20.8508 - val_loss: 15.2805
Epoch 498/500
29/29 [==============================] - 0s 2ms/step - loss: 20.8256 - val_loss: 15.4335
Epoch 499/500
29/29 [==============================] - 0s 2ms/step - loss: 20.7290 - val_loss: 15.8803
Epoch 500/500
29/29 [==============================] - 0s 2ms/step - loss: 20.6431 - val_loss: 15.4919