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Added a new reference in Deep learning (#8605)

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* Added a new reference in Deep learning

* Update courses/free-courses-en.md

Co-authored-by: Eric Hellman <eric@hellman.net>
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Nihar Vira 2022-11-01 22:11:39 +05:30 committed by GitHub
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@ -475,6 +475,7 @@
* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
* [Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa) - Aakash N. S., freeCodeCamp.org (YouTube)
* [Deep Learning with Pytorch: Zero tp GANs](https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans) (Jovian)
* [Deep Learning With Tensorflow 2.0 and Keras](https://youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO) - codebasics
* [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
* [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)