Additional updates

Author: luisquintanilla

articles/machine-learning/media/tutorial-train-deploy-image-classification-model-vscode/track-experiment-progress.png

@@ -68,7 +68,7 @@ Now that you have signed into Azure with your account credentials, Use the steps
     1. Select your Azure subscription.
     1. From the list of environments, select **Conda dependencies file**.
     1. Press **Enter** to browse the Conda dependencies file. This file contains the dependencies required to run your script. In this case, the dependencies file is the `env.yml` file inside the `mnist-vscode-docs-sample` directory.
-    1. Press **Enter** to browse the script file to run on the compute. This is the file that contains code to a machine learning model that categorize images of handwritten digits. In this case, the script to train the model is the `train.py` file inside the `mnist-vscode-docs-sample` directory.
+    1. Press **Enter** to browse the training script file. This is the file that contains code to a machine learning model that categorize images of handwritten digits. In this case, the script to train the model is the `train.py` file inside the `mnist-vscode-docs-sample` directory.
 
 1. At this point, a configuration file similar to the one below appears in the text editor. The configuration contains the information required to run the training job like the file that contains the code to train the model and any Python dependencies specified in the previous step.