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https://github.com/afshinea/stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning
https://github.com/afshinea/stanford-cs-230-deep-learning

cheatsheet convolutional-neural-networks data-science deep-learning recurrent-neural-networks

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VIP cheatsheets for Stanford's CS 230 Deep Learning

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# Deep Learning cheatsheets for Stanford's CS 230

Available in [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) - [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) - [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) - [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)

## 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
|Illustration|Illustration|Illustration|
|:--:|:--:|:--:|
|Convolutional Neural Networks|Recurrent Neural Networks|Tips and tricks|

#### Super VIP Cheatsheet
|Illustration|
|:--:|
|All the above gathered in one place|

## Website
This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-230), 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](https://github.com/shervinea/cheatsheet-translation)!

## Authors
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)