Deep Learning cheatsheets for Stanford's CS 230

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

                  Convolutional Neural Networks               Recurrent Neural Networks                              Tips and tricks

Super VIP Cheatsheet

                                                                                                                                     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)