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What you will learn
  • Item 1

  • Item 2

  • Item 3

Prerequisites
  • PyTorch v2.0.0

  • GPU ???

  • Other items 3

If you have a video, add it here like this:

To test your tutorial locally, you can do one of the following:

  • You can control specific files that generate the results by using GALLERY_PATTERN environment variable. The GALLERY_PATTERN variable respects regular expressions. For example to run only neural_style_transfer_tutorial.py, use the following command:

    GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
    

    or

    GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
    
  • Make a copy of this repository and add only your tutorial to the beginner_source directory removing all other tutorials. Then run make html.

Verify that all outputs were generated correctly in the created HTML.

Overview

Describe Why is this topic important? Add Links to relevant research papers.

This tutorial walks you through the process of….

Steps

Example code (the output below is generated automatically):

import torch
x = torch.rand(5, 3)
print(x)
tensor([[0.8698, 0.6446, 0.4650],
        [0.3003, 0.7285, 0.6221],
        [0.4047, 0.8337, 0.9632],
        [0.6786, 0.8221, 0.9607],
        [0.6312, 0.7639, 0.6732]])

(Optional) Additional Exercises

Add additional practice exercises for users to test their knowledge. Example: NLP from Scratch.

Conclusion

Summarize the steps and concepts covered. Highlight key takeaways.

Further Reading

  • Link1

  • Link2

Total running time of the script: ( 0 minutes 0.007 seconds)

Gallery generated by Sphinx-Gallery


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