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Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

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Python3 / Numpy tutorials for Stanford cs228 and cs231n

General Python and Numpy tutorial.

Preparatory material for the probabilistic graphical models and the deep learning classes at Stanford.

Upgraded to Python3 on 2017-08-22 by Paweł Załuski

This notebook is supposed to be used interactively, with executable fields. To use it so you need to get jupyter notebook server up and running locally:

  • sudo apt-get install python3-pip
  • pip install --upgrade jupyter
  • jupyter notebook

The notebook is based on an earlier version prepared by Justin Johnson and then adapted by Volodymyr Kuleshov and Isaac Caswell to .ipynb

http://cs231n.github.io/python-numpy-tutorial/

https://github.com/kuleshov/cs228-material

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