Skip to content

HaleTom/pytorch-udacity-scholarship

Repository files navigation

Tom Hale's PyTorch Udacity / Facebook scholarship course notes

These notes were written in Markdown with formulae.

The formulae are converted to images by TeXify.

I believe that I have attributed all materials, except the Udacity PyTorch Scholarship course, from which these notes are flagrantly copied ;)

My notes

Google Colab starter code for Image Classifier Project.ipynb

It took me a while to work out how to get Google Colab setup for this project:

  • Install newly released PyTorch 1.0.0
  • Automatically download and unzip the dataset
  • Check and warn if GPU is not enabled
  • Helper functions
  • image_show(): Convert and show an image without the default gridlines
  • label_to_text(): Convert a tensor label to its label from cat_to_name.json

Here's the setup code: Google_Colab_startup_PyTorch_Challenge.ipynb

Buy me a beer^H^H^H^Hcoconut

I took many hours creating this content which I hope will make your life easier.

If you have found these notes useful and feel moved to, please donate so I can buy a coconut:

Donate button

Other resources

List of all PyTorch Challenge notes

About

Notes from the PyTorch Udacity / Facebook scholarship course

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published