Awesome
Deep Learning cheatsheets for Stanford's CS 230
Available in English - فارسی - Français - 日本語 - 한국어 - Türkçe - Tiếng Việt
Goal
This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include:
- Cheatsheets detailing everything about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model.
- All elements of the above combined in an ultimate compilation of concepts, to have with you at all times!
Content
VIP Cheatsheets
| <a href="https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-convolutional-neural-networks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-001.png?" alt="Illustration" width="280px"/></a> | <a href="https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-recurrent-neural-networks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-002.png?" alt="Illustration" width="280px"/></a> | <a href="https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-deep-learning-tips-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-003.png?" alt="Illustration" width="280px"/></a> |
|---|---|---|
| Convolutional Neural Networks | Recurrent Neural Networks | Tips and tricks |
Super VIP Cheatsheet
| <a href="https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/super-cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-004.png?" alt="Illustration" width="400px"/></a> |
|---|
| All the above gathered in one place |
Website
This material is also available on a dedicated website, so that you can enjoy reading it from any device.
Translation
Would you like to see these cheatsheets in your native language? You can help us translating them on this dedicated repo!
Authors
Afshine Amidi (Ecole Centrale Paris, MIT) and Shervine Amidi (Ecole Centrale Paris, Stanford University)