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Add Stanford's cs330 to deep learning list (#4255)

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* Add Stanford's cs330

* Fixed trailing backspace

* Adding instructor name and Stanford

* fix author position

Co-authored-by: Eric Hellman <eric@hellman.net>
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@ -243,6 +243,7 @@
* [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 Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University)
* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine * [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
* [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare) * [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare)
* [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