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A simple neural network in Python

Project description


master: master branch build status

A simple neural network in Python


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


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.


  • Python >= 3.8
  • numpy


  1. pip3 install simplenet
  2. See examples/

Development Setup

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


  • Andrew Ng's Coursera courses


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://
    • Install from a specific commit:
      • pip install git+git://


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.

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