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VIP cheatsheets for Stanford's CS 230 Deep Learning
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| 2026-07-31 | 7055 |
| 2026-08-01 | 7054 |
| 2026-08-02 | 7054 |
| 2026-08-06 | 7055 |
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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 |<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](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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matched fp:c4e8036761a62b20, topic:deep-learning
