avatarAvinash
# Summary

The website provides a link to a Google Colab notebook pre-configured with PyTorch v1.0 for Udacity's Deep Learning with Python course, Lesson 9, along with instructions for its use.

# Abstract

The provided content introduces a Google Colab notebook specifically tailored for Lesson 9 of Udacity's Deep Learning with Python course. This notebook ensures compatibility with PyTorch v1.0 Stable, which is necessary for exploring the latest features of PyTorch as per the course curriculum. The author has made the process straightforward by providing a direct download link to the modified notebook and detailed step-by-step instructions for uploading and using it on Google Colab. The notebook includes a script to install the correct version of PyTorch automatically, taking into account the GPU architecture of Google Colab's environment. The author encourages users to reach out via Slack if they encounter any issues and expresses well-wishes for the course's final lesson.

# Opinions

- The author believes the notebook will be helpful for learners working on Lesson 9 of the Udacity course.
- They have a positive attitude towards assisting others, as evidenced by the invitation to message them on Slack for help.
- The author's enthusiasm and support are apparent through the encouraging message for the last lesson of the course.

Google Colab Notebook with PyTorch v1.0 Stable (Lesson 9)

TLDR; here is the link to the notebook — https://drive.google.com/open?id=18R3Rz639Fa4ByFwzLrY5LmD8t3Ee5IUR

In Lesson 9 of Udacity’s Deep Learning with Python, we explore the latest features of PyTorch. So, to get the appropriate version working on Google Colab, I made this handy notebook, which installs correct PyTorch version based on the GPU architecture of Google Colab.

Here are the brief steps:

  1. Download the modified Notebook from this link
  2. Visit Google Colab
  3. You will be prompted with a modal, select Upload
  4. If modal doesn’t appear and instead if it opens a new Notebook, then from menu File > Upload Notebook
  5. Upload the modified notebook
  6. That’s it!

If you are curious to know what I did, then I wrote this following script which downloads PyTorch v1 stable:

!pip install -q torch==1.0.0 torchvision

Hope this helps! If you have got any issues with running this notebook, then feel free to message me on Slack for any help. My slack username is avinashss

All the best for the last lesson!

Deep Learning
Udacity
Pytorch
Google Colab
Pytorchudacityscholar
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