The network has two-dimensional input (x, y), and one-dimensional output (z). The hidden layer of the multi-layer feed-forward network has 10 hidden units.

The training data for the network consists of 121 samples of a Gaussian-shaped function. The samples were taken on a regular 11x11 grid. Here is a video of three independent training runs.