Neural Network Study
An implementation of a toy neural network from scratch. The idea is to learn about the workings of neural networks and the underlying math, but also to produce something useful.
This project follows a series on neural networks on The Coding Train.
What does it do?
Stage 1: Perceptron
The first step is creating a perceptron, a single "neuron" that can be used to solve linearly separable problems. An example is classifying points on a plane to determine if they're above or below a line:
Stage 2: Multilayer Perceptron - The Neural Network
Once the principle of the perceptron is understood, the next major step in developing a neural network is to create a multilayer perceptron, that is, a small network with inputs, a hidden layer, and outputs.
This evolution of the concept can solve a variety of problems. A classic example is a game of moving a basket to catch falling apples -- and in this enhanced version, avoid the sour lemons!
