This repository contains all the source code accompanying the equivalent article series on Medium.

The first article explains the basics of Neural Networks, Genetic Programming, Evolution, Competitive Systems and NEAT.

Machine Learning for Dummies: Part 1

Examples

• Flappy Plane Demo

The second article explains the inner architecture of Neural Networks and implements an example Feed Forward NN to demonstrate how neurons connect and interact.

Machine Learning for Dummies: Part 2

Examples

• Brain Example

TBD: This article will cover Backpropagation and explain the Reinforcement Learning idea to modify neuron weights.

TBD: This article will explain ANNs in detail and how to properly generate, analyze and innovate them using genetic programming.

TBD: This article will cover NEAT in particular and compare it to other evolutionary concepts.

TBD: This article will cover Backpropagated NEAT in particular and compare it to other reinforcement learning concepts.