simplenet 0.1.2

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 >= 3.5 (will likely require 3.6 eventually, if Pythonista updates)

• numpy

Quickstart

1. pip3 install simplenet

2. See examples/

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

0.1.2 :: 2017-12-12

• Update initialization (now uses something like Xavier)

0.1.0 :: 2017-11-02

• First release on PyPI / GitHub.