Fix classification_privacy.ipynb

Fixed by calling `compute_dp_sgd_privacy_statement`.
tensorflow · Nov 2, 2023 · e07bcfb · e07bcfb
1 parent 39c8a8c
commit e07bcfb
Showing 1 changed file with 19 additions and 18 deletions.
diff --git a/g3doc/tutorials/classification_privacy.ipynb b/g3doc/tutorials/classification_privacy.ipynb
@@ -46,20 +46,20 @@
         "id": "MfBg1C5NB3X0"
       },
       "source": [
-        "\u003ctable class=\"tfo-notebook-buttons\" align=\"left\"\u003e\n",
-        "  \u003ctd\u003e\n",
-        "    \u003ca target=\"_blank\" href=\"https://www.tensorflow.org/responsible_ai/privacy/tutorials/classification_privacy\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" /\u003eView on TensorFlow.org\u003c/a\u003e\n",
-        "  \u003c/td\u003e\n",
-        "  \u003ctd\u003e\n",
-        "    \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/privacy/blob/master/g3doc/tutorials/classification_privacy.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /\u003eRun in Google Colab\u003c/a\u003e\n",
-        "  \u003c/td\u003e\n",
-        "  \u003ctd\u003e\n",
-        "    \u003ca target=\"_blank\" href=\"https://github.com/tensorflow/privacy/blob/master/g3doc/tutorials/classification_privacy.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /\u003eView source on GitHub\u003c/a\u003e\n",
-        "  \u003c/td\u003e\n",
-        "  \u003ctd\u003e\n",
-        "    \u003ca href=\"https://storage.googleapis.com/tensorflow_docs/privacy/g3doc/tutorials/classification_privacy.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/download_logo_32px.png\" /\u003eDownload notebook\u003c/a\u003e\n",
-        "  \u003c/td\u003e\n",
-        "\u003c/table\u003e"
+        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://www.tensorflow.org/responsible_ai/privacy/tutorials/classification_privacy\"><img src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" />View on TensorFlow.org</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/privacy/blob/master/g3doc/tutorials/classification_privacy.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://github.com/tensorflow/privacy/blob/master/g3doc/tutorials/classification_privacy.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a href=\"https://storage.googleapis.com/tensorflow_docs/privacy/g3doc/tutorials/classification_privacy.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" />Download notebook</a>\n",
+        "  </td>\n",
+        "</table>"
       ]
     },
     {
@@ -417,11 +417,12 @@
       },
       "outputs": [],
       "source": [
-        "compute_dp_sgd_privacy.compute_dp_sgd_privacy(n=train_data.shape[0],\n",
+        "print(compute_dp_sgd_privacy.compute_dp_sgd_privacy_statement(\n",
+        "                                              number_of_examples=train_data.shape[0],\n",
         "                                              batch_size=batch_size,\n",
         "                                              noise_multiplier=noise_multiplier,\n",
-        "                                              epochs=epochs,\n",
-        "                                              delta=1e-5)"
+        "                                              num_epochs=epochs,\n",
+        "                                              delta=1e-5))"
       ]
     },
     {
@@ -430,7 +431,7 @@
         "id": "c-KyttEWFRDc"
       },
       "source": [
-        "The tool reports that for the hyperparameters chosen above, the trained model has an $\\epsilon$ value of 1.18."
+        "The tool reports that for the hyperparameters chosen above, the trained model has an $\\epsilon$ value of 3.426."
       ]
     },
     {