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
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