DeepAI
DeepAI generates images using a class of generative models called GANs (Generative Adver- sarial Networks). GANs consist of two neural networks: a generator network that creates images, and a discrimi- nator network that tries to distinguish between generated images and real ones. The two networks are trained together in a process called adversarial training, where the generator tries to create images that fool the dis- criminator, and the discriminator tries to correctly identify whether an image is real or generated. Through this process, DeepAI is able to generate highly realistic images that blur the line between real and generated.