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!