Project import generated by Copybara.

PiperOrigin-RevId: 176659312

research/gan/tutorial.ipynb

@@ -23,48 +23,27 @@
    "metadata": {},
    "source": [
     "## Table of Contents\n",
-    "\n",
-    "<a href=#installation_and_setup>Installation and Setup</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#download_data>Download Data</a>\n",
-    "\n",
-    "<a href=#unconditional_example>Unconditional GAN example</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#unconditional_input>Input pipeline</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#unconditional_model>Model</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#unconditional_loss>Loss</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#unconditional_train>Train and evaluation</a>\n",
-    "\n",
-    "<a href=#ganestimator_example>GANEstimator example</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#ganestimator_input>Input pipeline</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#ganestimator_train>Train</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#ganestimator_eval>Eval</a>\n",
-    "\n",
-    "<a href=#conditional_example>Conditional GAN example</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#conditional_input>Input pipeline</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#conditional_model>Model</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#conditional_loss>Loss</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#conditional_train>Train and evaluation</a>\n",
-    "\n",
-    "<a href=#infogan_example>InfoGAN example</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#infogan_input>Input pipeline</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#infogan_model>Model</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#infogan_loss>Loss</a>\n",
-    "\n",
-    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href=#infogan_train>Train and evaluation</a>"
+    "<a href='#installation_and_setup'>Installation and Setup</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#download_data'>Download Data</a><br>\n",
+    "<a href='#unconditional_example'>Unconditional GAN example</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#unconditional_input'>Input pipeline</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#unconditional_model'>Model</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#unconditional_loss'>Loss</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb sp;<a href='#unconditional_train'>Train and evaluation</a><br>\n",
+    "<a href='#ganestimator_example'>GANEstimator example</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#ganestimator_input'>Input pipeline</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#ganestimator_train'>Train</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#ganestimator_eval'>Eval</a><br>\n",
+    "<a href='#conditional_example'>Conditional GAN example</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#conditional_input'>Input pipeline</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#conditional_model'>Model</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#conditional_loss'>Loss</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#conditional_train'>Train and evaluation</a><br>\n",
+    "<a href='#infogan_example'>InfoGAN example</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#infogan_input'>Input pipeline</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#infogan_model'>Model</a><br>\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#infogan_loss'>Loss</a><br>\n",,
+    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href='#infogan_train'>Train and evaluation</a><br>"
    ]
   },
   {