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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) - [](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) - [Francais](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) - [](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) - [Turkce](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tieng Viet](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 |||| |:--:|:--:|:--:| |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](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)

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