edit advanced_functionality/tensorflow_bring_your_own/tensorflow_bring_your_own.ipynb

Author: EC2 Default User

advanced_functionality/tensorflow_bring_your_own/tensorflow_bring_your_own.ipynb

@@ -72,7 +72,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Part 1: Packaging and Uploading your Algorithm for use with Amazon SageMaker\n",
+    "## Part 1: Packaging and Uploading your Algorithm for use with Amazon SageMaker\n",
     "\n",
     "### An overview of Docker\n",
     "\n",
@@ -449,7 +449,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Part 2: Training and Hosting your Algorithm in Amazon SageMaker\n",
+    "## Part 2: Training and Hosting your Algorithm in Amazon SageMaker\n",
     "Once you have your container packaged, you can use it to train and serve models. Let's do that with the algorithm we made above.\n",
     "\n",
     "## Set up the environment\n",
@@ -608,7 +608,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Reference\n",
+    "## Reference\n",
     "- [How Amazon SageMaker interacts with your Docker container for training](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo.html)\n",
     "- [How Amazon SageMaker interacts with your Docker container for inference](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-inference-code.html)\n",
     "- [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html)\n",