https://github.com/jdormit/cmpt-301-project-2
A project for CMPT-301 (AI) involving gradient descent and neural networks
https://github.com/jdormit/cmpt-301-project-2
Last synced: 11 months ago
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A project for CMPT-301 (AI) involving gradient descent and neural networks
- Host: GitHub
- URL: https://github.com/jdormit/cmpt-301-project-2
- Owner: jdormit
- Created: 2016-11-13T23:38:40.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-11-15T05:17:29.000Z (over 9 years ago)
- Last Synced: 2025-03-15T12:30:50.381Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 11.4 MB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# CMPT-301 Project 2 - Linear Models and Neural Networks
### Jeremy Dormitzer, Aspen Hopkins, Jerry Argyle and Alex Brown
## Goals
This project aims to:
- Read in data from the MNIST data set and the 20 News Groups dataset
- Use gradient descent to develop a classifier, and test it
- Use a 2-layer neural network to develop a classifier, and test it
- Display graphs representing the effectiveness of each classifier
## Installation and Usage
```
$ git clone https://www.github.com/jdormit/cs-301-project-2
$ cd cs-301-project-2
$ pip install -r requirements.txt
$ python code/main.py
```
## Write-up
The write-up can be found [here](https://jdormit.github.io/cmpt-301-project-2/writeup.html).