July 18, 2019

101 words 1 min read



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
language Jupyter Notebook
size (curr.) 187 kB
stars (curr.) 952
created 2016-01-07

Tutorials for Stanford cs228 and cs231n

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


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.

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