kuleshov/cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
| repo name | kuleshov/cs228-material |
| repo link | https://github.com/kuleshov/cs228-material |
| homepage | |
| language | Jupyter Notebook |
| size (curr.) | 187 kB |
| stars (curr.) | 952 |
| created | 2016-01-07 |
| license | |
Tutorials for Stanford cs228 and cs231n
Preparatory material for the probabilistic graphical models and the deep learning classes at Stanford.
Material
This repo currently holds:
- A tutorial on basic Python/Numpy that is necesseary to get started with the above machine learning classes.
You may follow the iPython notebook on github, or clone and execute it locally. The notebook is based on an earlier version prepared by Justin Johnson.
