Generative Adversarial Networks (GANs) are a type of neural network used in unsupervised machine learning that consists of two parts: a generator that creates images and a discriminator that evaluates them. By working against each other, they refine the generated images, enabling the creation of complex and nuanced art. GANs allow artists to explore the boundaries of algorithmic art and to create pieces with deep learning art techniques.