Experimental Visualization of Artificial Neural Network with WebGL

This experiment shows an Artificial Neural Network which learns to detect the frequency of the input signal independent from the phase. The implementation is based on Three.js (r56), Guava and Google Web Toolkit. GWT helps to translate the Java code for the Artificial Neural Network into JavaScript, which is then executed in the browser. The experiment has been developed with GWT 2.6.0 and App Engine SDK 1.9.30. You may read more and get the source code here.