텐서플로 1.10에서 재실행

09_up_and_running_with_tensorflow.ipynb

@@ -12,13 +12,13 @@
      "output_type": "stream",
      "text": [
       "CPython 3.6.6\n",
-      "IPython 6.4.0\n",
+      "IPython 6.5.0\n",
       "\n",
       "numpy 1.14.5\n",
       "scipy 1.1.0\n",
       "matplotlib 2.2.2\n",
       "sklearn 0.19.1\n",
-      "tensorflow 1.9.0\n"
+      "tensorflow 1.10.0\n"
      ]
     }
    ],
@@ -3166,70 +3166,70 @@
      "output_type": "stream",
      "text": [
       "반복 0\n",
-      "  logdir: tf_logs/logreg-run-20180713031830/\n",
+      "  logdir: tf_logs/logreg-run-20180809041249/\n",
       "  batch_size: 54\n",
       "  learning_rate: 0.004430375245218265\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9797979797979798\n",
       "  재현율: 0.9797979797979798\n",
       "반복 1\n",
-      "  logdir: tf_logs/logreg-run-20180713032014/\n",
+      "  logdir: tf_logs/logreg-run-20180809041429/\n",
       "  batch_size: 22\n",
       "  learning_rate: 0.0017826497151386947\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9797979797979798\n",
       "  재현율: 0.9797979797979798\n",
       "반복 2\n",
-      "  logdir: tf_logs/logreg-run-20180713032352/\n",
+      "  logdir: tf_logs/logreg-run-20180809041833/\n",
       "  batch_size: 74\n",
       "  learning_rate: 0.00203228544324115\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9696969696969697\n",
       "  재현율: 0.9696969696969697\n",
       "반복 3\n",
-      "  logdir: tf_logs/logreg-run-20180713032503/\n",
+      "  logdir: tf_logs/logreg-run-20180809041945/\n",
       "  batch_size: 58\n",
       "  learning_rate: 0.004491523825137997\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9797979797979798\n",
       "  재현율: 0.9797979797979798\n",
       "반복 4\n",
-      "  logdir: tf_logs/logreg-run-20180713032639/\n",
+      "  logdir: tf_logs/logreg-run-20180809042114/\n",
       "  batch_size: 61\n",
       "  learning_rate: 0.07963234721775589\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9801980198019802\n",
       "  재현율: 1.0\n",
       "반복 5\n",
-      "  logdir: tf_logs/logreg-run-20180713032809/\n",
+      "  logdir: tf_logs/logreg-run-20180809042240/\n",
       "  batch_size: 92\n",
       "  learning_rate: 0.0004634250583294876\n",
       "  훈련: .....................\n",
       "  정밀도: 0.912621359223301\n",
       "  재현율: 0.9494949494949495\n",
       "반복 6\n",
-      "  logdir: tf_logs/logreg-run-20180713032911/\n",
+      "  logdir: tf_logs/logreg-run-20180809042337/\n",
       "  batch_size: 74\n",
       "  learning_rate: 0.047706818419354494\n",
       "  훈련: .....................\n",
       "  정밀도: 0.98\n",
       "  재현율: 0.98989898989899\n",
       "반복 7\n",
-      "  logdir: tf_logs/logreg-run-20180713033028/\n",
+      "  logdir: tf_logs/logreg-run-20180809042449/\n",
       "  batch_size: 58\n",
       "  learning_rate: 0.0001694044709524274\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9\n",
       "  재현율: 0.9090909090909091\n",
       "반복 8\n",
-      "  logdir: tf_logs/logreg-run-20180713033205/\n",
+      "  logdir: tf_logs/logreg-run-20180809042619/\n",
       "  batch_size: 61\n",
       "  learning_rate: 0.04171461199412461\n",
       "  훈련: .....................\n",
       "  정밀도: 0.9801980198019802\n",
       "  재현율: 1.0\n",
       "반복 9\n",
-      "  logdir: tf_logs/logreg-run-20180713033331/\n",
+      "  logdir: tf_logs/logreg-run-20180809042744/\n",
       "  batch_size: 92\n",
       "  learning_rate: 0.00010742922968438615\n",
       "  훈련: .....................\n",