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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 anultimate compilation of concepts, to have with you at all times!

                  Convolutional Neural Networks               Recurrent Neural Networks                              Tips and tricks

                                                                                                                                     All the above gathered in one place

This material is also available on a dedicatedwebsite, so that you can enjoy reading it from any device.

Would you like to see these cheatsheets in your native language? You can help us translating them onthis dedicated repo!

Afshine Amidi (Ecole Centrale Paris, MIT) andShervine Amidi (Ecole Centrale Paris, Stanford University)