This document provides information about Google Colab and how to use it for deep learning projects. Google Colab allows for collaboration on notebooks saved to a user's Google Drive account and runs computations on Google's GPUs, CPUs, and newly added TPUs. It guides the user on how to create folders and notebooks in Google Drive, set the notebook to use a GPU hardware accelerator, and open python notebooks in different ways. The document also contains example slides for presentations.

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2. Google Cola
b
 Google Colab comes with collaboration backed in the product.
 It also runs on Google servers
 Don’t need to install anything
 Notebooks are saved to your Google Drive account
 Google Colab recently added support for Tensor Processing
Unit ( TPU ) apart from its existing GPU and CPU instances. So,
it’s a big deal for all deep learning people

3. Creating Folder on
Google Drive

4. Creating New
Colab Notebook
Create a new notebook via Right click > More > Colaboratory

5. Notebook
Settings
Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware
accelerator

6. Hardware
accelerator

7. Open python notebook
in different ways

8. Slide Title
• Make Effective Presentations
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• Engage your Audience
• Capture Audience Attention

9. Slide Title
• Make Effective Presentations
• Using Awesome Backgrounds
• Engage your Audience
• Capture Audience Attention

10. Slide Title
Product A
• Feature 1
• Feature 2
• Feature 3
Product B
• Feature 1
• Feature 2
• Feature 3