Difference between revisions of "Neural Networks"
From MIPAL
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* [http://incompleteideas.net/book/bookdraft2018mar21.pdf Introduction to Reinforcement Learning (Sutton & Barto Book)] | * [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://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)] | ||
Revision as of 00:16, 14 September 2019
- Introduction to Neural Computation
- Nvidia deep learning course (free with exercise)
- Deep learning tutorial
- Hugo Larochelle's Neural Networks course (excellent videos)
- Stanford CNN course (Spring 2015)
- Excellent blog on LSTM
- Introduction to Reinforcement Learning (Sutton & Barto Book)
- Excellent blog post on Policy Gradient Algorithms (Lilian Weng)
- Stanford Course on Deep Generative Models (Fall 2018-2019)
