Update train-hyperparameter-tune-deploy-with-keras.ipynb

Author: swinner95

how-to-use-azureml/training-with-deep-learning/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb

@@ -8,6 +8,13 @@
         "\n",
         "Licensed under the MIT License."
       ]
+    },
+     {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+          "![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/training-with-deep-learning/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.png)"
+         ] 
     },
     {
       "cell_type": "markdown",
@@ -26,7 +33,7 @@
         "\n",
         "## Prerequisite:\n",
         "* Understand the [architecture and terms](https://docs.microsoft.com/azure/machine-learning/service/concept-azure-machine-learning-architecture) introduced by Azure Machine Learning\n",
-        "* Go through the [configuration notebook](../../../configuration.ipynb) to:\n",
+        "* If you are using an Azure Machine Learning Notebook VM, you are all set. Otherwise, go through the [configuration notebook](../../../configuration.ipynb) to:\n",
         "    * install the AML SDK\n",
         "    * create a workspace and its configuration file (`config.json`)\n",
         "* For local scoring test, you will also need to have `tensorflow` and `keras` installed in the current Jupyter kernel."
@@ -1168,4 +1175,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 2
-}
+}