edit aws_marketplace/using_data/image_classification_with_shutterstock_image_datasets/image-classification-with-shutterstock-datasets.ipynb

Author: EC2 Default User

aws_marketplace/using_data/image_classification_with_shutterstock_image_datasets/image-classification-with-shutterstock-datasets.ipynb

@@ -10,7 +10,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# Introduction\n",
+    "## Introduction\n",
     "\n",
     "This example of **multi-label image classification** trains the **Amazon SageMaker 1P image classification algorithm**. We will use the Amazon SageMaker image classification algorithm in transfer learning mode to fine-tune a pre-trained model (trained on ImageNet data) to learn to classify a new multi-label dataset. The pre-trained model will be fine-tuned using the [Free Sample: Images & Metadata of “Whole Foods” Shoppers dataset from Shutterstock’s Image Datasets](https://aws.amazon.com/marketplace/pp/prodview-y6xuddt42fmbu?ref_=srh_res_product_title). \n",
     "\n",
@@ -408,7 +408,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# Inference\n",
+    "## Inference\n",
     "\n",
     "### Step 9: Deploy the Model for Inference\n",
     "\n",