Train on 60000 samples, validate on 10000 samples
Epoch 1/50
60000/60000 [==============================] - 5s - loss: 191.0905 - val_loss: 173.5436
Epoch 2/50
60000/60000 [==============================] - 5s - loss: 171.7320 - val_loss: 169.0859
Epoch 3/50
60000/60000 [==============================] - 5s - loss: 168.1224 - val_loss: 166.7636
Epoch 4/50
60000/60000 [==============================] - 5s - loss: 165.5420 - val_loss: 164.4730
Epoch 5/50
60000/60000 [==============================] - 5s - loss: 163.8741 - val_loss: 163.4501
Epoch 6/50
60000/60000 [==============================] - 5s - loss: 162.7379 - val_loss: 162.9273
Epoch 7/50
60000/60000 [==============================] - 5s - loss: 161.8719 - val_loss: 161.7938
Epoch 8/50
60000/60000 [==============================] - 5s - loss: 161.0796 - val_loss: 161.3434
Epoch 9/50
60000/60000 [==============================] - 5s - loss: 160.4377 - val_loss: 160.4363
Epoch 10/50
60000/60000 [==============================] - 5s - loss: 159.8330 - val_loss: 159.9203
Epoch 11/50
60000/60000 [==============================] - 5s - loss: 159.2621 - val_loss: 159.5222
Epoch 12/50
60000/60000 [==============================] - 5s - loss: 158.7406 - val_loss: 158.9181
Epoch 13/50
60000/60000 [==============================] - 5s - loss: 158.2449 - val_loss: 158.6521
Epoch 14/50
60000/60000 [==============================] - 5s - loss: 157.7862 - val_loss: 158.1587
Epoch 15/50
60000/60000 [==============================] - 5s - loss: 157.3053 - val_loss: 157.8226
Epoch 16/50
60000/60000 [==============================] - 5s - loss: 156.9417 - val_loss: 158.0445
Epoch 17/50
60000/60000 [==============================] - 5s - loss: 156.5658 - val_loss: 157.3171
Epoch 18/50
60000/60000 [==============================] - 5s - loss: 156.2249 - val_loss: 157.0271
Epoch 19/50
60000/60000 [==============================] - 5s - loss: 155.8873 - val_loss: 157.0536
Epoch 20/50
60000/60000 [==============================] - 5s - loss: 155.5819 - val_loss: 156.3859
Epoch 21/50
60000/60000 [==============================] - 5s - loss: 155.2945 - val_loss: 156.1629
Epoch 22/50
60000/60000 [==============================] - 5s - loss: 155.0148 - val_loss: 155.9180
Epoch 23/50
60000/60000 [==============================] - 5s - loss: 154.7706 - val_loss: 155.9890
Epoch 24/50
60000/60000 [==============================] - 5s - loss: 154.5395 - val_loss: 155.7588
Epoch 25/50
60000/60000 [==============================] - 5s - loss: 154.3486 - val_loss: 155.7783
Epoch 26/50
60000/60000 [==============================] - 5s - loss: 154.1120 - val_loss: 155.4132
Epoch 27/50
60000/60000 [==============================] - 5s - loss: 153.9194 - val_loss: 155.1289
Epoch 28/50
60000/60000 [==============================] - 5s - loss: 153.6825 - val_loss: 155.4338
Epoch 29/50
60000/60000 [==============================] - 5s - loss: 153.5506 - val_loss: 155.0366
Epoch 30/50
60000/60000 [==============================] - 5s - loss: 153.3196 - val_loss: 154.7996
Epoch 31/50
60000/60000 [==============================] - 5s - loss: 153.1628 - val_loss: 154.6084
Epoch 32/50
60000/60000 [==============================] - 4s - loss: 152.9938 - val_loss: 155.1787
Epoch 33/50
60000/60000 [==============================] - 5s - loss: 152.8034 - val_loss: 154.5734
Epoch 34/50
60000/60000 [==============================] - 5s - loss: 152.6532 - val_loss: 154.3676
Epoch 35/50
60000/60000 [==============================] - 4s - loss: 152.4781 - val_loss: 154.4870
Epoch 36/50
60000/60000 [==============================] - 4s - loss: 152.3254 - val_loss: 154.2274
Epoch 37/50
60000/60000 [==============================] - 4s - loss: 152.1693 - val_loss: 154.5915
Epoch 38/50
60000/60000 [==============================] - 4s - loss: 151.9978 - val_loss: 154.0650
Epoch 39/50
60000/60000 [==============================] - 4s - loss: 151.8608 - val_loss: 153.7670
Epoch 40/50
60000/60000 [==============================] - 4s - loss: 151.7393 - val_loss: 153.9039
Epoch 41/50
60000/60000 [==============================] - 4s - loss: 151.5966 - val_loss: 154.7774
Epoch 42/50
60000/60000 [==============================] - 5s - loss: 151.4757 - val_loss: 153.7938
Epoch 43/50
60000/60000 [==============================] - 5s - loss: 151.3705 - val_loss: 153.8829
Epoch 44/50
60000/60000 [==============================] - 5s - loss: 151.2328 - val_loss: 153.7716
Epoch 45/50
60000/60000 [==============================] - 4s - loss: 151.1133 - val_loss: 153.3561
Epoch 46/50
60000/60000 [==============================] - 4s - loss: 151.0194 - val_loss: 153.4168
Epoch 47/50
60000/60000 [==============================] - 4s - loss: 150.8907 - val_loss: 153.4800
Epoch 48/50
60000/60000 [==============================] - 4s - loss: 150.7891 - val_loss: 153.5535
Epoch 49/50
60000/60000 [==============================] - 4s - loss: 150.6946 - val_loss: 153.8616
Epoch 50/50
60000/60000 [==============================] - 4s - loss: 150.5713 - val_loss: 153.4389