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@ -368,6 +368,8 @@ Table of Contents |
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- [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm) |
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- [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm) |
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- [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM) |
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- [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM) |
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- **Deep Learning** |
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- **Deep Learning** |
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- [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq) |
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- [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) |
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- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/) |
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- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/) |
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- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos) |
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- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos) |
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- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/) |
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- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/) |
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