DCGAN (Deep Convolutional GAN)

Deep Convolutional GANs (DCGANs) are a type of artificial intelligence model used for generating images. They consist of two neural networks: a generator and a discriminator. The generator creates fake images from random noise, while the discriminator evaluates images to determine if they are real (from a training set) or fake (from the generator). Through a process of competition, both networks improve over time, resulting in the generator producing increasingly realistic images. DCGANs are popular for tasks like creating art, enhancing images, and generating realistic data for various applications.