al"</em>).
    </p>

    <h2>What's happening in the visualization?</h2>
    <p>
      GANs are complicated beasts, and the visualization has a lot going on. Here are the basic ideas.
    </p>
    
    <p>
      First, we're not visualizing anything as complex as generating realistic images. Instead, we're showing a GAN that learns a distribution of points in just <em>two dimensions</em>. There's no real application of something this simple, but it's much easier to show the system's mechanics. For one thing