Skip to content

123weizheng/ML-Course-Notes

Β 
Β 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

37 Commits
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸŽ“ ML Course Notes

A place to collaborate and share course notes on all topics related to machine learning, NLP, and AI.

WIP denotes work in progress

πŸ†• denotes recently published notes

MIT 6.S191 Introduction to Deep Learning (2022) [Website]

Lectures by: Alexander Amini and Ava Soleimany

Lecture Description Video Notes Author
Introduction to Deep Learning Basic fundamentals of neural networks and deep learning. Video Notes Elvis
RNNs and Transformers Introduction to recurrent neural networks and transformers. Video Notes Elvis
Deep Computer Vision Deep Neural Networks for Computer Vision. Video Notes Elvis
Deep Generative Modeling Autoencoders and GANs. Video Notes Elvis
Deep Reinforcement Learning Deep RL key concepts and DQNs. Video Notes πŸ†• Elvis
Limitations and New Frontiers Limitations and New Frontiers in Deep Learning. Video WIP Elvis
Autonomous Driving with LiDAR Autonomous Driving with LiDAR. Video WIP Elvis

CS224N: Natural Language Processing with Deep Learning (2022) [Website]

Lecture Description Video Notes Author
Introduction and Word Vectors Introduction to NLP and word vectors. Video WIP Elvis
Neural Classifiers Neural Classifiers for NLP. Video WIP Elvis

How To Contribute

  1. Identify a course and lecture from this list. If you are working on notes for a lecture, please indicate by opening an issue. This avoids duplicate work.
  2. Write your notes, preferably in a Google document, Notion document, or GitHup repo.
  3. We care about quality, so make sure to revise your notes before submitting.
  4. Once you are finished, open a PR here.

If you encounter any problems with the notes? Reach out to the authors of the notes and open issue here.

If you have any questions, open an issue or reach out to me on Twitter.

Join our Discord.

About

πŸŽ“ Sharing course notes on all topics related to machine learning, NLP, and AI.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published