# 15-779 | Materials

https://www.cs.cmu.edu/~zhihaoj2/15-779/materials.html

## [15-779: Advanced Topics in Machine Learning Systems (LLM Edition) ](https://www.cs.cmu.edu/~zhihaoj2/15-779/)
  * [ Home ](https://www.cs.cmu.edu/~zhihaoj2/15-779/)
  * [ Logistics ](https://www.cs.cmu.edu/~zhihaoj2/15-779/logistics.html)
  * [ Schedule ](https://www.cs.cmu.edu/~zhihaoj2/15-779/schedule.html)
  * [ Materials ](https://www.cs.cmu.edu/~zhihaoj2/15-779/materials.html)


## Materials
This course is mainly about systems and we won’t go deep on the learning perspectives. Here are useful materials to get you started.
More materials will be posted throughout the course.
## Materials on Deep Learning
  * [Deep Learning Book](https://www.deeplearningbook.org/) is a comprehensive material for the field.
  * [Dive into Deep Learning](https://d2l.ai/) Interactive deep learning book with code, math, and discussions.
  * [CS231n](https://cs231n.stanford.edu/) is a great course to get started on DL for computer vision.


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