From 94c1fdd9cf8a583852ac44c0a502891009e5813a Mon Sep 17 00:00:00 2001 From: Moo Jin Kim Date: Sat, 2 Apr 2022 18:08:11 -0700 Subject: [PATCH] Update setup.md: Replace old Colab workflow tutorial with Moo Jin's new one --- setup.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.md b/setup.md index 5efbebb5..67e2d5e2 100644 --- a/setup.md +++ b/setup.md @@ -28,7 +28,7 @@ like GPUs (K80, P100) and TPUs which will be particularly useful for assignments **Workflow**. Every assignment provides you with a download link to a zip file containing Colab notebooks and Python starter code. You can upload the folder to Drive, open the notebooks in Colab and work on them, then save your progress back to Drive. We encourage you to watch the tutorial video below which covers the recommended workflow using assignment 1 as an example. - + **Best Practices**. There are a few things you should be aware of when working with Colab. The first thing to note is that resources aren't guaranteed (this is the price for being free). If you are idle for a certain amount of time or your total connection time exceeds the maximum allowed time (~12 hours), the Colab VM will disconnect. This means any unsaved progress will be lost. Thus, get into the habit of frequently saving your code whilst working on assignments. To read more about resource limitations in Colab, read their FAQ [here](https://research.google.com/colaboratory/faq.html).