Tutorials for Stanford cs228 and cs231n for Python 3.6

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

Material

This repo currently holds:

• An updated tutorial in Python 3.6 on basic Python/Numpy that is necessary to get started with the above machine learning classes.

The tutorial in Python 2.7 prepared by Volodymyr Kuleshov and Isaac Caswell can be found there tutorial.

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.