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What is it all about?

This repository contains my slides and sample codes that I used for my talk in DDD Melbourne 2017.

Files in the repository

  • ML.key
    • Slides in Keynote format (Original format)
  • ML.pptx
    • Slides in PowerPoint format (Converted from Keynote)
  • simple.js
    • A simple implementation of a neuron in JavaScript (inspired by iamtrask
  • 3layer.js
    • Add a hidden layer to simple.js
  • simple.py
    • A simple neural network implemented using TensorFlow
  • summary.py
    • Same as simple.py with support for summaries for TensorBoard

License

Just keep my name and a link to this repository and do whatever you want with this!