nbfmt

Author: tfdocsbot

site/en/guide/extension_type.ipynb

@@ -350,8 +350,7 @@
       "source": [
         "### Printable representation\n",
         "\n",
-        "`ExtensionType` adds a default printable representation method (`__repr__`) that includes the class name and the value for each field:\n",
-        "\n"
+        "`ExtensionType` adds a default printable representation method (`__repr__`) that includes the class name and the value for each field:\n"
       ]
     },
     {
@@ -2115,15 +2114,11 @@
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       "display_name": "Python 3",
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-    },
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site/en/guide/function.ipynb

@@ -1695,7 +1695,6 @@
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       "collapsed_sections": [],
       "name": "function.ipynb",
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       "toc_visible": true
     },
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site/en/guide/migrate/migrating_feature_columns.ipynb

@@ -863,7 +863,6 @@
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       "collapsed_sections": [],
       "name": "migrating_feature_columns.ipynb",
-      "provenance": [],
       "toc_visible": true
     },
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site/en/guide/migrate/saved_model.ipynb

@@ -748,7 +748,6 @@
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       "name": "saved_model.ipynb",
-      "provenance": [],
       "toc_visible": true
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site/en/guide/saved_model.ipynb

@@ -75,8 +75,7 @@
         " - Save: `tf.saved_model.save(model, path_to_dir)`\n",
         " - Load: `model = tf.saved_model.load(path_to_dir)`\n",
         "- High-level `tf.keras.Model` API. Refer to [the keras save and serialize guide](keras/save_and_serialize.ipynb).\n",
-        "- If you just want to save/load weights during training, refer to [the checkpoints guide](./checkpoint.ipynb).\n",
-        "\n"
+        "- If you just want to save/load weights during training, refer to [the checkpoints guide](./checkpoint.ipynb).\n"
       ]
     },
     {
@@ -977,7 +976,6 @@
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       "name": "saved_model.ipynb",
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       "toc_visible": true
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site/en/guide/tensor.ipynb

@@ -1491,7 +1491,6 @@
         "Tce3stUlHN0L"
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-      "provenance": [],
       "toc_visible": true
     },
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site/en/tutorials/structured_data/preprocessing_layers.ipynb

@@ -787,17 +787,6 @@
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-          "timestamp": 1621892545428
-        },
-        {
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-          "timestamp": 1621891489626
-        }
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