https://github.com/maroshmka/np-mlp-clf

Raw implementation of mlp classifier in python using numpy.
https://github.com/maroshmka/np-mlp-clf

classification example-code learning machine-learning multilayer-perceptron neural-network numpy

Last synced: about 2 months ago
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Raw implementation of mlp classifier in python using numpy.

• Host: GitHub
• URL: https://github.com/maroshmka/np-mlp-clf
• Owner: maroshmka
• License: mit
• Created: 2018-04-04T21:19:47.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-04-04T21:49:26.000Z (over 8 years ago)
• Last Synced: 2025-02-23T22:31:01.541Z (over 1 year ago)
• Topics: classification, example-code, learning, machine-learning, multilayer-perceptron, neural-network, numpy
• Language: Python
• Size: 350 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# MLP classifier

This is an implementation of raw multilayer perceptron classifier in numpy.  

It has also implementation of simple GridSearch.  

### Usage:

Install dependencies from `requirements.txt`, e.g. to virtualenv.  

Then run script.

```bash

$ python3 main.py [-gs] --data iris|2d

  gs - use grid search for model selection

```

In the end, visualisations of results will be stored in `results/`.

You can see an example of a results in `example_results/`.