fix errors

Author: sdgilley

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:
-            * **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**
+            * **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

@@ -38,7 +38,7 @@ 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 **v1 (<version>) > how-to-use-azureml** folder instead of **tutorials**
+         - 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/clone-tutorials.png

@@ -51,11 +51,11 @@ You complete the following experiment setup and run steps in Azure Machine Learn
 
 1. At the top, select the **Samples** tab.
 
-1. Open the **v1 (<version>)** folder. The version number represents the current v1 release for the Python SDK.
+1. Open the **v1 (`<version>`)** folder. The version number represents the current v1 release for the Python SDK.
 
 1. Select the **...** button at the right of the **tutorials** folder, and then select **Clone**.
 
-    :::image type="content" source="media/tutorial-1st-experiment-sdk-setup/clone-tutorials.png" alt-text="Screenshot that shows the Clone tutorials folder.":::
+    :::image type="content" source="media/tutorial-train-deploy-notebook/clone-tutorials.png" alt-text="Screenshot that shows the Clone tutorials folder.":::
 
 1. A list of folders shows each user who accesses the workspace. Select your folder to clone the **tutorials**  folder there.