A little project I’m working on at the moment: creating a neural network that will (maybe) learn the aesthetic tastes of a person.
There are two parts to this, the first creates tree-like shapes (what Richard Dawkins calls biomorphs in his book The Blind Watchmaker). Here is an online demo of these biomorphs. My version is going to allow for significantly more complex biomorphs.
When interacting with the program, the user selects the biomorphs that they like, and that is used as the progenitor of the next batch. Mutation is then applied to these, and the set of modified versions is presented to the user to select the next ‘best’ one.
The other part of this program is the neural network. It will be trained on the user’s input and selections, and after a while it will be allowed to run on its own, selecting what it thinks is the best based on its training. After running for a while (several dozen generations or so), the results will be displayed.
The point of this (aside from the fun of implementing it) is to see how well the neural network can pick up the ‘styles’ that the user was going for, and thus to see if it can end up knowing what people like.
Here are the current details on the design of this. These designs are getting updated over time. Comments/suggestions/whatever are welcome.