A collection of 237 Cats created by GAN machine learning techniques. Free to mint for holders of Series 0 and Series 1 metaGAN NFTs.

A generative adversarial network (GAN) is a machine learning model in which two neural networks compete with each other completely unsupervised to become more accurate in their predictions.

The model begins training by generating images of random noise before slowly 'learning' the source images via a feedback loop and producing graphics closer and closer to the inputs' likeness.