Fix ToC

Author: tomfaulhaber

scikit_bring_your_own/scikit_bring_your_own.ipynb

@@ -10,8 +10,6 @@
     "\n",
     "By packaging an algorithm in a container, you can bring almost any code to the Amazon SageMaker environment, regardless of programming language, environment, framework, or dependencies. \n",
     "\n",
-    "_TODO: make sure TOC is up-to-date_\n",
-    "\n",
     "1. [Building your own algorithm container](#Building-your-own-algorithm-container)\n",
     "  1. [When should I build my own algorithm container?](#When-should-I-build-my-own-algorithm-container?)\n",
     "  1. [Permissions](#Permissions)\n",
@@ -26,10 +24,17 @@
     "      1. [Running your container during hosting](#Running-your-container-during-hosting)\n",
     "    1. [The parts of the sample container](#The-parts-of-the-sample-container)\n",
     "    1. [The Dockerfile](#The-Dockerfile)\n",
+    "    1. [Building and registering the container](#Building-and-registering-the-container)\n",
     "  1. [Testing your algorithm on your local machine or on an Amazon SageMaker notebook instance](#Testing-your-algorithm-on-your-local-machine-or-on-an-Amazon-SageMaker-notebook-instance)\n",
     "1. [Part 2: Training and Hosting your Algorithm in Amazon SageMaker](#Part-2:-Training-and-Hosting-your-Algorithm-in-Amazon-SageMaker)\n",
+    "  1. [Set up the environment](#Set-up-the-environment)\n",
+    "  1. [Create the session](#Create-the-session)\n",
     "  1. [Upload the data for training](#Upload-the-data-for-training)\n",
-    "  \n",
+    "  1. [Create an estimator and fit the model](#Create-an-estimator-and-fit-the-model)\n",
+    "  1. [Deploy the model](#Deploy-the-model)\n",
+    "  1. [Choose some data and use it for a prediction](#Choose-some-data-and-use-it-for-a-prediction)\n",
+    "  1. [Optional cleanup](#Optional-cleanup)  \n",
+    "\n",
     "_or_ I'm impatient, just [let me see the code](#The-Dockerfile)!\n",
     "\n",
     "## When should I build my own algorithm container?\n",
@@ -482,9 +487,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Environment (conda_tensorflow_p36)",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda_tensorflow_p36"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -495,9 +500,8 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "notice": "Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.  Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.2"
   }
  },
  "nbformat": 4,