# cs228-material

**Repository Path**: zhengHhan/cs228-material

## Basic Information

- **Project Name**: cs228-material
- **Description**: Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-21
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://github.com/kuleshov/cs228-material/blob/master/tutorials/python/cs228-python-tutorial.ipynb) 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](http://cs231n.github.io/python-numpy-tutorial/) prepared by Justin Johnson.