Difference between revisions of "Machine Learning"

Revision as of 00:49, 26 October 2019

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 * [http://deeplearning.stanford.edu/wiki/index.php Deep learning tutorial page]
 * [https://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html Video lecture on Graphical Models] by Eric Xing@CMU
-* [http://jalammar.github.io/about/ Excellent Blog on NLP (Transformers and BERT)]
-* [http://snap.stanford.edu/proj/embeddings-www/ Graph Neural Networks] WWW-18 Tutorial
-* [http://www.cs.bham.ac.uk/~jxb/inc.html Introduction to Neural Computation]
-* [https://developer.nvidia.com/deep-learning-courses Nvidia deep learning course (free with exercise)]
-* [http://deeplearning.net/tutorial/contents.html Deep learning tutorial]
-* [http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html Hugo Larochelle's Neural Networks course (excellent videos)]
-* [http://cs231n.stanford.edu/ Stanford CNN course (Spring 2015)]
-* [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Excellent blog on LSTM]
-* [http://incompleteideas.net/book/bookdraft2018mar21.pdf Introduction to Reinforcement Learning (Sutton & Barto Book)]
-* [https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Excellent blog post on Policy Gradient Algorithms (Lilian Weng)]
-* [https://deepgenerativemodels.github.io/ Stanford Course on Deep Generative Models (Fall 2018-2019)]