Difference between revisions of "Neural Networks"
From MIPAL
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* [http://www.cs.umd.edu/class/fall2020/cmsc828W/ Excellent class lectures on theoretical backgrounds of DL from Soheil Feizi@UMD] | * [http://www.cs.umd.edu/class/fall2020/cmsc828W/ Excellent class lectures on theoretical backgrounds of DL from Soheil Feizi@UMD] | ||
* [http://cs330.stanford.edu/ Deep Multi-Task and Meta Learning] (Stanford CS330, Fall 2021, Chelsea Finn) | * [http://cs330.stanford.edu/ Deep Multi-Task and Meta Learning] (Stanford CS330, Fall 2021, Chelsea Finn) | ||
| + | * [https://deepgenerativemodels.github.io/ Deep Generative Models (Stanford CS236, Fall 2021, Stefano Ermon & Yang Song) | ||
Revision as of 10:27, 26 May 2023
- 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)
- Excellent Blog on NLP (Transformers and BERT)
- Graph Neural Networks WWW-18 Tutorial
- Introduction to Bayesian Neural Networks
- Neural Tangent Kernel
- Excellent class lectures on theoretical backgrounds of DL from Soheil Feizi@UMD
- Deep Multi-Task and Meta Learning (Stanford CS330, Fall 2021, Chelsea Finn)
- [https://deepgenerativemodels.github.io/ Deep Generative Models (Stanford CS236, Fall 2021, Stefano Ermon & Yang Song)
