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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
Last synced: 26 days ago
JSON representation
VIP cheatsheets for Stanford's CS 230 Deep Learning
- Host: GitHub
- URL: https://github.com/afshinea/stanford-cs-230-deep-learning
- Owner: afshinea
- License: mit
- Created: 2018-11-27T05:12:37.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-20T04:23:57.000Z (over 4 years ago)
- Last Synced: 2024-10-01T12:41:17.888Z (about 1 month ago)
- Topics: cheatsheet, convolutional-neural-networks, data-science, deep-learning, recurrent-neural-networks
- Homepage: https://stanford.edu/~shervine/teaching/cs-230/
- Size: 38.2 MB
- Stars: 6,304
- Watchers: 226
- Forks: 1,348
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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
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|:--:|:--:|:--:|
|Convolutional Neural Networks|Recurrent Neural Networks|Tips and tricks|#### Super VIP Cheatsheet
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|:--:|
|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)