Gold BlogDeep Learning Cheat Sheets

Check out this collection of high-quality deep learning cheat sheets, filled with valuable, concise information on a variety of neural network-related topics.

Shervine Amidi, graduate student at Stanford, and Afshine Amidi, of MIT and Uber -- creators of a recent set of machine leanring cheat sheets -- have just published a new set of deep learning cheat sheets. These "VIP cheat sheets" are based on the materials from Stanford's CS 230 (Github repo with PDFs available here), and include topics such as:

  • Recurrent Neural Networks
  • Convolutional Neural Networks
  • Hyperparameter tuning
  • Object recognition
  • Regularization
  • Tips and tricks
  • ... and much more

Deep learning cheat sheets

Links to individual cheat sheets are below:

You can visit Shervine's Stanford resource page or the Github repo for more information, or can download the cheat sheets from the direct download links above.

You can also find all of the sheets bundled together into a single "super VIP cheat sheet."

Thanks to Shervine and Afshine for putting these fantastic resources together.