# Awesome-Deep-Learning

**Repository Path**: huogenwang/Awesome-Deep-Learning

## Basic Information

- **Project Name**: Awesome-Deep-Learning
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-03-16
- **Last Updated**: 2021-03-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Awesome-Deep-Learning

Recently, I've seen many stories discussing Deep Learning. Thus, I decided to compile them on a github repo. Hope this helps!

* [Practical Deep Learning for Coders](http://course.fast.ai/)
* [Google's Free Deep Learning Course](https://www.udacity.com/course/deep-learning--ud730)
* [Free “Deep Learning” Textbook by Goodfellow and Bengio Now Finished](https://www.facebook.com/ia3n.goodfellow/posts/10102223910143043)
* [Microsoft releases CNTK, its open source deep learning toolkit, on GitHub](http://blogs.microsoft.com/next/2016/01/25/microsoft-releases-cntk-its-open-source-deep-learning-toolkit-on-github/#sm.00001b0gg3epr8cnpzx34raokl71p)
* [Grokking Deep Learning](https://iamtrask.github.io/2016/08/17/grokking-deep-learning/)
* [Open Sourcing a Deep Learning Solution for Detecting NSFW Images](https://yahooeng.tumblr.com/post/151148689421/open-sourcing-a-deep-learning-solution-for)
* [How a Japanese cucumber farmer is using deep learning and TensorFlow](https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow)
* [Deep Learning Papers Reading Roadmap](https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap)
* [How Google Translate squeezes deep learning onto a phone](https://research.googleblog.com/2015/07/how-google-translate-squeezes-deep.html)
* [Intel will add deep-learning instructions to its processors](http://lemire.me/blog/2016/10/14/intel-will-add-deep-learning-instructions-to-its-processors/)
* [Facebook open-sources deep-learning modules](https://research.fb.com/blog/879898285375829/fair-open-sources-deep-l20earning-modules-for-torch/)
* [A Guide to Deep Learning](http://yerevann.com/a-guide-to-deep-learning/)
* [Deep learning](http://neuralnetworksanddeeplearning.com/chap6.html)
* [Major advancements in Deep Learning in 2016](https://tryolabs.com/blog/2016/12/06/major-advancements-deep-learning-2016/)
* [Setting Up a Deep Learning Machine from Scratch](https://github.com/saiprashanths/dl-setup)
* [How to Get a Job In Deep Learning](http://blog.deepgram.com/how-to-get-a-job-in-deep-learning/)
* [Deep Learning Enables You to Hide Screen When Your Boss Is Approaching](http://ahogrammer.com/2016/11/15/deep-learning-enables-you-to-hide-screen-when-your-boss-is-approaching/)
* [Some of the most important deep learning papers](https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html)
* [The Truth About Deep Learning](http://blog.claymcleod.io/2016/06/01/The-truth-about-Deep-Learning/)
* [The Difference Between AI, Machine Learning, and Deep Learning](https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/)
* [AI, Deep Learning, and Machine Learning: A Primer [video]](http://a16z.com/2016/06/10/ai-deep-learning-machines/)
* [Infrastructure for Deep Learning](https://openai.com/blog/infrastructure-for-deep-learning/)
* [Miles Deep – Open Source Porn Video Classifier/Editor with Deep Learning](https://github.com/ryanjay0/miles-deep)
* [How to Start Learning Deep Learning](http://ofir.io/How-to-Start-Learning-Deep-Learning/)
* [Large Scale Deep Learning – Jeff Dean [pdf]](http://static.googleusercontent.com/media/research.google.com/en/us/people/jeff/CIKM-keynote-Nov2014.pdf)
* [Deep Learning: An MIT Press Book in Preparation](http://www.iangoodfellow.com/dlbook/)
* [A 'Brief' History of Neural Nets and Deep Learning](http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/)
* [Deep Learning is Easy - Learn Something Harder](http://www.inference.vc/deep-learning-is-easy/)
* [Wide and Deep Learning: Better Together with TensorFlow](https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html)
* [Radeon Instinct – Optimized Machine and Deep Learning](http://radeon.com/en-us/instinct/)
* [Paddle: Baidu's open source deep learning framework](https://github.com/PaddlePaddle/Paddle)
* [Image Completion with Deep Learning in TensorFlow](http://bamos.github.io/2016/08/09/deep-completion/)
* [What is the difference between deep learning and usual machine learning?](https://github.com/rasbt/python-machine-learning-book/blob/master/faq/difference-deep-and-normal-learning.md)
* [Deep Learning with Spark and TensorFlow](https://databricks.com/blog/2016/01/25/deep-learning-with-apache-spark-and-tensorflow.html)
* [Neural Enhance – Super Resolution for images using deep learning](https://github.com/alexjc/neural-enhance)
* [‘Deep learning’ technique enables robot mastery of skills via trial and error](http://news.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/)
* [Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]](https://www.youtube.com/watch?v=sEciSlAClL8)
* [Top Deep Learning Projects](https://github.com/aymericdamien/TopDeepLearning)