# TF Data and Deployment: How to Refresh your Workspace in Coursera Labs **URL:** \ **Category:** TensorFlow: Data and Deployment Resources\ **Created:** [January 5, 2023, 2:04am UTC](https://community.deeplearning.ai/t/tf-data-and-deployment-how-to-refresh-your-workspace-in-coursera-labs/252168 "2023-01-05T02:04:22Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![chris.favila](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/chris.favila/32/126338_2.png) [@chris.favila](https://community.deeplearning.ai/u/chris.favila)\ **Post date:** [January 5, 2023, 2:04am UTC](https://community.deeplearning.ai/t/tf-data-and-deployment-how-to-refresh-your-workspace-in-coursera-labs/252168/1 "2023-01-05T02:04:22Z")
This applies to notebooks in courses that run on Coursera Labs. If you clicked a blue `Launch Notebook!`, `Work in Browser`, or `Open Lab` button in the classroom, then that assignment runs in the said environment. This will come in handy whenever you need to start from scratch, fetch the latest version of the assignment, recover the notebook’s metadata, or run into a 404 error. 1. O​pen the notebook from the classroom. 2. After the notebook opens up, c​lick `File → Open` 3. W​hen your workspace opens, tick the _check box_ before your notebook file. After it is selected, press `Shutdown`. The icon beside the filename should turn from green to gray. 4. **Important:** Tick the checkbox again and this time choose `Rename` and enter any filename other than the original. For example, `C4W1_Assignment.ipynb (original) → C4W1_Assignment_v2.ipynb`. **If you don’t rename your current notebook, the new one will not be fetched.** 5. (Optional) Tick the checkbox of any other file that you want to get a fresh copy of (e.g. dataset files that you might have manipulated irreversibly). Then click `Delete` . You can also opt to `Rename` or `Download` each file individually in case you want to keep them before deleting. 6. Click on the `Help` button on the top right of the page. 7. Click the `Get latest version` button. 8. Click the `Update Lab` button. The page will refresh and you should now see the latest version of the notebook. It will have the original filename in your workspace. ---
**Author:** ![chris.favila](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/chris.favila/32/126338_2.png) [@chris.favila](https://community.deeplearning.ai/u/chris.favila)\ **Post date:** [January 5, 2023, 2:04am UTC](https://community.deeplearning.ai/t/tf-data-and-deployment-how-to-refresh-your-workspace-in-coursera-labs/252168/2 "2023-01-05T02:04:37Z")
Listed on January 5, 2023, 2:04am UTC ---
**Author:** ![chris.favila](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/chris.favila/32/126338_2.png) [@chris.favila](https://community.deeplearning.ai/u/chris.favila)\ **Post date:** [January 5, 2023, 2:04am UTC](https://community.deeplearning.ai/t/tf-data-and-deployment-how-to-refresh-your-workspace-in-coursera-labs/252168/3 "2023-01-05T02:04:58Z")
Pinned on January 5, 2023, 2:04am UTC ---
**Author:** ![chris.favila](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/chris.favila/32/126338_2.png) [@chris.favila](https://community.deeplearning.ai/u/chris.favila)\ **Post date:** [January 5, 2023, 2:05am UTC](https://community.deeplearning.ai/t/tf-data-and-deployment-how-to-refresh-your-workspace-in-coursera-labs/252168/4 "2023-01-05T02:05:05Z")
Closed on January 5, 2023, 2:05am UTC