Difference between revisions of "Neural Networks"

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* [https://developer.nvidia.com/deep-learning-courses Nvidia deep learning course (free with exercise)]
 
* [https://developer.nvidia.com/deep-learning-courses Nvidia deep learning course (free with exercise)]
 
* [http://deeplearning.net/tutorial/contents.html Deep learning tutorial]
 
* [http://deeplearning.net/tutorial/contents.html Deep learning tutorial]
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* [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://cs231n.stanford.edu/ Stanford CNN course (Spring 2015)]
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* [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Excellent blog on LSTM]
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* [http://incompleteideas.net/book/bookdraft2018mar21.pdf Introduction to Reinforcement Learning (Sutton & Barto Book)]
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* [https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Excellent blog post on Policy Gradient Algorithms (Lilian Weng)]
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* [https://deepgenerativemodels.github.io/ Stanford Course on Deep Generative Models (Fall 2018-2019)]
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* [http://jalammar.github.io/about/ Excellent Blog on NLP (Transformers and BERT)]
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* [http://snap.stanford.edu/proj/embeddings-www/ Graph Neural Networks] WWW-18 Tutorial
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* [https://davidstutz.de/a-short-introduction-to-bayesian-neural-networks/ Introduction to Bayesian Neural Networks]
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* [https://rajatvd.github.io/NTK/ Neural Tangent Kernel]
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* [http://www.cs.umd.edu/class/fall2020/cmsc828W/ Excellent class lectures on theoretical backgrounds of DL from Soheil Feizi@UMD]
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* [http://cs330.stanford.edu/ Deep Multi-Task and Meta Learning] (Stanford CS330, Fall 2021, Chelsea Finn)

Revision as of 11:15, 17 December 2021