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Repository for Experimentation with p5 and deeplearn.js

Python 52.93% Jupyter Notebook 47.07%

p5-deeplearn-js's Introduction

p5-deeplearn-js

This project is currently in development.

Interactive and easy to use experiments using deeplearn.js and p5.js. The idea of this project is to further reduce the barriers between lower level machine learning and creative outputs.

Contents


Examples

Most of the examples are ports of Daniel Shiffman Nature of Code Intelligence and Learning examples.

  1. Mnist
  2. LSTM
  3. Image Recognition
  4. Image to Text
  5. Style Transfer

Tutorials

  1. Mnist Hello World
  2. Generating text with a LSTM

Glossary

Experiments

Reference

To work and modify the ES6 examples:

git clone https://github.com/ITPNYU/p5-deeplearn-js.git
cd p5-deeplearn-js/examples/es6
npm install
npm watch:mnist

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