SimpleNet

master:

A simple neural network in Python

• Free software: MIT
• Documentation: https://simplenet-nn.readthedocs.io

Features

• Simple interface
• Minimal dependencies (numpy)
• Runs on Pythonista on iOS
• Attempts to verify accuracy by comparing results with popular frameworks Keras and Tensorflow

Introduction

This is a simple multilayer perceptron that I decided to build as I learned a little bit about machine learning and neural networks. It doesn't have many features.

Dependencies

• Python >= 3.8
• numpy

Quickstart

1. pip3 install simplenet
2. See examples/

Development Setup

1. Clone the repo: git clone https://github.com/n8henrie/simplenet && cd simplenet
2. Make a virtualenv: python3 -m venv venv
3. source venv/bin/activate
4. pip install -e .[dev]

Acknowledgements

• Andrew Ng's Coursera courses

TODO

I don't really know any Latex, so if anybody wants to help me fill out some of the other docstrings with pretty equations, feel free. I'm also not a mathematician, so if anything doesn't seem quite right, feel free to speak up.

Troubleshooting / FAQ

• How can I install an older / specific version of SimpleNet?
  • Install from a tag:
    • pip install git+git://github.com/n8henrie/simplenet.git@v0.1.0
  • Install from a specific commit:
    • pip install git+git://github.com/n8henrie/simplenet.git@aabc123def456ghi789

Changelog

0.1.4 :: 20220-06-19

• Fix README error, version bump for pypi

0.1.3 :: 20220-06-19

• Update dependencies and tests to run on modern python and tensorflow
• Deprecate python3.5-3.7 due to numpy dependency
• Use GitHub Actions instead of Travis
• Add an experimental Dockerfile for reproducibility with tests

0.1.2 :: 2017-12-12

• Update initialization (now uses something like Xavier)

0.1.0 :: 2017-11-02

• First release on PyPI / GitHub.