Reviewing the notebooks for tf 2.

PiperOrigin-RevId: 234199617

Author: yashk2810

site/en/r2/tutorials/_toc.yaml

@@ -24,13 +24,13 @@ toc:
   - title: Overview
     path: /r2/tutorials/eager/
   - title: Eager execution
-    path: /r2/tutorials/eager/eager_basics
+    path: /r2/tutorials/eager/basics
+  - title: Custom layers
+    path: /r2/tutorials/eager/custom_layers
   - title: Automatic differentiation
     path: /r2/tutorials/eager/automatic_differentiation
   - title: "Custom training: basics"
     path: /r2/tutorials/eager/custom_training
-  - title: Custom layers
-    path: /r2/tutorials/eager/custom_layers
   - title: "Custom training: walkthrough"
     path: /r2/tutorials/eager/custom_training_walkthrough
 

site/en/r2/tutorials/eager/automatic_differentiation.ipynb

@@ -94,6 +94,8 @@
       },
       "outputs": [],
       "source": [
+        "from __future__ import absolute_import, division, print_function\n",
+        "\n",
         "!pip install tf-nightly-2.0-preview\n",
         "import tensorflow as tf"
       ]

site/en/r2/tutorials/eager/eager_basics.ipynb renamed to site/en/r2/tutorials/eager/basics.ipynb

@@ -41,7 +41,7 @@
         "id": "U9i2Dsh-ziXr"
       },
       "source": [
-        "# Eager execution basics"
+        "# Tensors and Operations"
       ]
     },
     {
@@ -89,6 +89,8 @@
       },
       "outputs": [],
       "source": [
+        "from __future__ import absolute_import, division, print_function\n",
+        "\n",
         "!pip install tf-nightly-2.0-preview"
       ]
     },
@@ -101,7 +103,7 @@
       "source": [
         "## Import TensorFlow\n",
         "\n",
-        "Import the `tensorflow` module to get started. [Eager execution](../../guide/eager.ipynb) is enabled by default."
+        "To get started, import the `tensorflow` module. As of TensorFlow 2.0, eager execution is turned on by default. This enables a more interactive frontend to TensorFlow, the details of which we will discuss much later."
       ]
     },
     {
@@ -144,7 +146,6 @@
         "print(tf.add([1, 2], [3, 4]))\n",
         "print(tf.square(5))\n",
         "print(tf.reduce_sum([1, 2, 3]))\n",
-        "print(tf.io.encode_base64(\"hello world\"))\n",
         "\n",
         "# Operator overloading is also supported\n",
         "print(tf.square(2) + tf.square(3))"
@@ -436,7 +437,7 @@
   "metadata": {
     "colab": {
       "collapsed_sections": [],
-      "name": "eager_basics.ipynb",
+      "name": "basics.ipynb",
       "private_outputs": true,
       "provenance": [],
       "toc_visible": true,

site/en/r2/tutorials/eager/custom_training.ipynb

@@ -97,6 +97,8 @@
       },
       "outputs": [],
       "source": [
+        "from __future__ import absolute_import, division, print_function\n",
+        "\n",
         "!pip install tf-nightly-2.0-preview\n",
         "import tensorflow as tf"
       ]