“This projects goal was to build an intuiative and visually interesting way of seeing a neural network learn. I built it becuase I had some empty wall space.
A separate computer runs the neural network training program and communicates with the RGB Neural Net over WiFi.
Using the RGB Neural Net
First I generate some data that I want the neural network to learn. In this case it’s some multi label classification data, meaning that given an ‘x’ and a ‘y’ value (2 continuous features) a data point can either have label A, label B, both label A and B, or no label assigned to it. i.e Label A could be ‘if someone likes apples’, and label B couble be ‘if someone like oranges’, and therefore someone could like one, or the other, or both, or neither.”