This helped refine the company’s image processing capabilities, but the Google team took it further. Google used the ANN to amplify patterns it saw in pictures. Each artificial neural layer works on a different level of abstraction, meaning some picked up edges based on tiny levels of contrast, while others found shapes and colors. They ran this process to accentuate color and form, and then by told the network to go buck wild, and keep accentuating anything it recognizes. So if a cloud looks similar to a bird, the network would keep applying its idea of a bird in small iterations over and over again.