Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npz
 11493376/11490434 [==============================] - 3s 0us/step
 x_train shape: (60000, 28, 28, 1)
 60000 train samples
 10000 test samples
 60000/60000 [==============================] - 53s 890us/step - loss: 0.3043 - acc: 0.9029 - val_loss: 0.0705 - val_acc: 0.9763
 Epoch 2/12
 60000/60000 [==============================] - 74s 1ms/step - loss: 0.1027 - acc: 0.9686 - val_loss: 0.0435 - val_acc: 0.9855
 Epoch 3/12
 60000/60000 [==============================] - 73s 1ms/step - loss: 0.0784 - acc: 0.9763 - val_loss: 0.0357 - val_acc: 0.9876
 Epoch 4/12
 60000/60000 [==============================] - 65s 1ms/step - loss: 0.0668 - acc: 0.9804 - val_loss: 0.0305 - val_acc: 0.9894
 Epoch 5/12
 60000/60000 [==============================] - 57s 942us/step - loss: 0.0572 - acc: 0.9827 - val_loss: 0.0301 - val_acc: 0.9897
 Epoch 6/12
 60000/60000 [==============================] - 54s 906us/step - loss: 0.0522 - acc: 0.9840 - val_loss: 0.0292 - val_acc: 0.9893
 Epoch 7/12
 60000/60000 [==============================] - 51s 844us/step - loss: 0.0480 - acc: 0.9860 - val_loss: 0.0277 - val_acc: 0.9902
 Epoch 8/12
 60000/60000 [==============================] - 48s 798us/step - loss: 0.0445 - acc: 0.9863 - val_loss: 0.0232 - val_acc: 0.9912
 Epoch 9/12
 60000/60000 [==============================] - 51s 849us/step - loss: 0.0420 - acc: 0.9872 - val_loss: 0.0218 - val_acc: 0.9926
 Epoch 10/12
 60000/60000 [==============================] - 56s 935us/step - loss: 0.0370 - acc: 0.9884 - val_loss: 0.0262 - val_acc: 0.9907
 Epoch 11/12
 60000/60000 [==============================] - 65s 1ms/step - loss: 0.0358 - acc: 0.9890 - val_loss: 0.0225 - val_acc: 0.9917
 Epoch 12/12
 60000/60000 [==============================] - 63s 1ms/step - loss: 0.0333 - acc: 0.9896 - val_loss: 0.0227 - val_acc: 0.9920
 val_acc: 0.992