AWS dlami documentation change
Summary
Updated terminology from 'click' to 'choose' for UI interactions in Jupyter tutorial
Security assessment
Change involves UI terminology updates only. No security vulnerabilities, configurations, or features are mentioned or modified.
Diff
diff --git a/dlami/latest/devguide/tutorial-jupyter.md b/dlami/latest/devguide/tutorial-jupyter.md index 84fe1056e..4c07e1279 100644 --- a//dlami/latest/devguide/tutorial-jupyter.md +++ b//dlami/latest/devguide/tutorial-jupyter.md @@ -29 +29 @@ Deep learning tutorials and examples often rely on one or more GPUs. If your ins -Once you're logged in to the Jupyter server and can see the tutorials directory (on Deep Learning AMI with Conda only), you will be presented with folders of tutorials by each framework name. If you don't see a framework listed, then tutorials are not available for that framework on your current DLAMI. Click on the name of the framework to see the listed tutorials, then click a tutorial to launch it. +Once you're logged in to the Jupyter server and can see the tutorials directory (on Deep Learning AMI with Conda only), you will be presented with folders of tutorials by each framework name. If you don't see a framework listed, then tutorials are not available for that framework on your current DLAMI. Choose on the name of the framework to see the listed tutorials, then choose a tutorial to launch it. @@ -43 +43 @@ If you're concerned about which version of CUDA is active, one way to see it is -If you decide to try a tutorial for a different framework, be sure to verify the currently running kernel. This info can be seen in the upper right of the Jupyter interface, just below the logout button. You can change the kernel on any open notebook by clicking the Jupyter menu item **Kernel** , then **Change Kernel** , and then clicking the environment that suits the notebook you're running. +If you decide to try a tutorial for a different framework, be sure to verify the currently running kernel. This info can be seen in the upper right of the Jupyter interface, just below the logout button. You can change the kernel on any open notebook by choosing the Jupyter menu item **Kernel** , then **Change Kernel** , and then choosing the environment that suits the notebook you're running. @@ -49 +49 @@ At this point you'll need to rerun any cells because a change in the kernel will -Switching between frameworks can be fun and educational, however you can run out of memory. If you start running into errors, look at the terminal window that has the Jupyter server running. There are helpful messages and error logging here, and you may see an out-of-memory error. To fix this, you can go to the home page of your Jupyter server, click the **Running** tab, then click **Shutdown** for each of the tutorials that are probably still running in the background and eating up all of your memory. +Switching between frameworks can be fun and educational, however you can run out of memory. If you start running into errors, look at the terminal window that has the Jupyter server running. There are helpful messages and error logging here, and you may see an out-of-memory error. To fix this, you can go to the home page of your Jupyter server, choose the **Running** tab, then choose **Shutdown** for each of the tutorials that are probably still running in the background and eating up all of your memory.