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@@ -338,17 +338,17 @@
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" loss, acc = sess.run([cost, accuracy], feed_dict={x: batch_x,\n",
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" y: batch_y,\n",
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" keep_prob: 1.})\n",
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- " print \"Iter \" + str(step*batch_size) + \", Minibatch Loss= \" + \\\n",
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+ " print(\"Iter \" + str(step*batch_size) + \", Minibatch Loss= \" + \\\n",
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" \"{:.6f}\".format(loss) + \", Training Accuracy= \" + \\\n",
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- " \"{:.5f}\".format(acc)\n",
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+ " \"{:.5f}\".format(acc))\n",
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" step += 1\n",
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- " print \"Optimization Finished!\"\n",
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+ " print(\"Optimization Finished!\")\n",
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"\n",
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" # Calculate accuracy for 256 mnist test images\n",
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- " print \"Testing Accuracy:\", \\\n",
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+ " print(\"Testing Accuracy:\", \\\n",
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" sess.run(accuracy, feed_dict={x: mnist.test.images[:256],\n",
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" y: mnist.test.labels[:256],\n",
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- " keep_prob: 1.})"
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+ " keep_prob: 1.}))"
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]
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},
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{
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