Merge pull request #213060 from sdgilley/sdg-main-new-samples

modify for new samples structure

Author: Stacyrch140

articles/machine-learning/how-to-monitor-tensorboard.md

@@ -37,8 +37,8 @@ How you launch TensorBoard with Azure Machine Learning experiments depends on th
     * Azure Machine Learning compute instance - no downloads or installation necessary
         * Complete the [Quickstart: Get started with Azure Machine Learning](quickstart-create-resources.md) to create a dedicated notebook server pre-loaded with the SDK and the sample repository.
         * In the samples folder on the notebook server, find  two completed and expanded notebooks by navigating to these directories:
-            * **how-to-use-azureml > track-and-monitor-experiments > tensorboard > export-run-history-to-tensorboard > export-run-history-to-tensorboard.ipynb**
-            * **how-to-use-azureml > track-and-monitor-experiments > tensorboard > tensorboard > tensorboard.ipynb**
+            * **v1 (`<version>`) > how-to-use-azureml > track-and-monitor-experiments > tensorboard > export-run-history-to-tensorboard > export-run-history-to-tensorboard.ipynb**
+            * **v1 (`<version>`) > how-to-use-azureml > track-and-monitor-experiments > tensorboard > tensorboard > tensorboard.ipynb**
     * Your own Juptyer notebook server
        * [Install the Azure Machine Learning SDK](/python/api/overview/azure/ml/install) with the `tensorboard` extra
         * [Create an Azure Machine Learning workspace](quickstart-create-resources.md).  

articles/machine-learning/v1/how-to-use-reinforcement-learning.md

@@ -37,8 +37,8 @@ Run this code in either of these environments. We recommend you try Azure Machin
 
  - Azure Machine Learning compute instance
 
-     - Learn how to clone sample notebooks in [Tutorial: Train and deploy a model](../tutorial-train-deploy-notebook.md).
-         - Clone the **how-to-use-azureml** folder instead of **tutorials**
+     - Learn how to clone sample notebooks in [Tutorial: Train and deploy a model](tutorial-train-deploy-notebook.md).
+         - Clone the **v1 (`<version>`) > how-to-use-azureml** folder instead of **tutorials**
      - Run the virtual network setup notebook located at `/how-to-use-azureml/reinforcement-learning/setup/devenv_setup.ipynb` to open network ports used for distributed reinforcement learning.
      - Run the sample notebook `/how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/pong_rllib.ipynb`
 

articles/machine-learning/v1/media/tutorial-train-deploy-notebook/open-terminal.png renamed to articles/machine-learning/v1/media/samples-notebooks-v1/open-terminal.png

@@ -39,7 +39,6 @@ Learn how to take the following actions:
 
 Azure Machine Learning includes a cloud notebook server in your workspace for an install-free and pre-configured experience. Use [your own environment](../how-to-configure-environment.md#local) if you prefer to have control over your environment, packages, and dependencies.
 
-
 ## Clone a notebook folder
 
 You complete the following experiment setup and run steps in Azure Machine Learning studio. This consolidated interface includes machine learning tools to perform data science scenarios for data science practitioners of all skill levels.
@@ -50,25 +49,21 @@ You complete the following experiment setup and run steps in Azure Machine Learn
 
 1. On the left, select **Notebooks**.
 
-1. Select the **Open terminal** tool to open a terminal window.
-
-    :::image type="content" source="media/tutorial-train-deploy-notebook/open-terminal.png" alt-text="Screenshot: Open terminal from Notebooks section.":::
+1. At the top, select the **Samples** tab.
 
-1. On the top bar, select the compute instance you created during the  [Quickstart: Get started with Azure Machine Learning](../quickstart-create-resources.md)  to use if it's not already selected.  Start the compute instance if it is stopped.
+1. Open the **v1 (`<version>`)** folder. The version number represents the current v1 release for the Python SDK.
 
-1. In the terminal window, clone the MachineLearningNotebooks repository:
+1. Select the **...** button at the right of the **tutorials** folder, and then select **Clone**.
 
-    ```bash
-    git clone --depth 1  https://github.com/Azure/MachineLearningNotebooks
-    ```
+    :::image type="content" source="media/tutorial-train-deploy-notebook/clone-tutorials.png" alt-text="Screenshot that shows the Clone tutorials folder.":::
 
-1. If necessary, refresh the list of files with the **Refresh** tool to see the newly cloned folder under your user folder.
+1. A list of folders shows each user who accesses the workspace. Select your folder to clone the **tutorials**  folder there.
 
 ## Open the cloned notebook
 
-1. Open the **MachineLearningNotebooks** folder that was cloned into your **Files** section.
+1. Open the **tutorials** folder that was cloned into your **User files** section.
 
-1. Select the **quickstart-azureml-in-10mins.ipynb** file from your **MachineLearningNotebooks/tutorials/compute-instance-quickstarts/quickstart-azureml-in-10mins** folder. 
+1. Select the **quickstart-azureml-in-10mins.ipynb** file from your **tutorials/compute-instance-quickstarts/quickstart-azureml-in-10mins** folder. 
 
     :::image type="content" source="media/tutorial-train-deploy-notebook/expand-folder.png" alt-text="Screenshot shows the Open tutorials folder.":::
 

articles/machine-learning/v1/media/tutorial-train-deploy-notebook/clone-tutorials.png

@@ -0,0 +1,27 @@
+---
+author: sdgilley
+ms.service: machine-learning
+ms.topic: include
+ms.date: 09/28/2022
+ms.author: sgilley
+---
+
+1. Sign in to [Azure Machine Learning studio](https://ml.azure.com/).
+
+1. Select your subscription and the workspace you created.
+
+1. On the left, select **Notebooks**.
+
+1. Select the **Open terminal** tool to open a terminal window.
+
+    :::image type="content" source="../articles/machine-learning/v1/media/samples-notebooks-v1/open-terminal.png" alt-text="Screenshot: Open terminal from Notebooks section.":::
+
+1. On the top bar, select the compute instance you created during the  [Quickstart: Get started with Azure Machine Learning](../articles/machine-learning/quickstart-create-resources.md) to use if it's not already selected.  Start the compute instance if it is stopped.
+
+1. In the terminal window, clone the MachineLearningNotebooks repository:
+
+    ```bash
+    git clone --depth 1  https://github.com/Azure/MachineLearningNotebooks
+    ```
+
+1. If necessary, refresh the list of files with the **Refresh** tool to see the newly cloned folder under your user folder.