https://github.com/princeofpuppers/phys490hw3

Machine Learning Project for PHYS 490, University of Waterloo
https://github.com/princeofpuppers/phys490hw3

Last synced: 10 days ago
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Machine Learning Project for PHYS 490, University of Waterloo

• Host: GitHub
• URL: https://github.com/princeofpuppers/phys490hw3
• Owner: PrinceOfPuppers
• Created: 2020-02-22T07:42:50.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-22T07:53:11.000Z (almost 5 years ago)
• Last Synced: 2024-11-08T03:44:26.570Z (2 months ago)
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Assignment *number 1*

- name: Joshua McPherson

- student ID: 20687868

## Dependencies

- numpy

-matplotlib

## Running `main.py`

To run `main.py`, use:

```sh

python main.py data/x.txt 

```

where x is the name of the input file, results will be stored in outputs/x.txt

to run `main.py` in verbose mode, use:

```sh

python main.py data/x.txt -v

```

This will display a matplotlib graph of the KL Divergence between the Hopfield network 

and the data over the epochs of training. Note however hopfield networks with Hebbian Learning 

do not benefit from additional training epochs so this will always be constant.