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Add the course "deep reinforcement learning" in "deep learning" section (#4256)

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@ -175,6 +175,7 @@
* [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io) * [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io)
* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu) * [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera) * [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
* [Intro to Deep Learning](https://www.kaggle.com/learn/intro-to-deep-learning) - Ryan Holbrook * [Intro to Deep Learning](https://www.kaggle.com/learn/intro-to-deep-learning) - Ryan Holbrook
* [MIT 6.S094: Deep Learning for Self-Driving Cars](https://selfdrivingcars.mit.edu) * [MIT 6.S094: Deep Learning for Self-Driving Cars](https://selfdrivingcars.mit.edu)
* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard * [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard