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 * [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)