DCGAN on Anime Face
Generative adversial networks also called GANs are used to generate images by taking a random-uniform noise as an input. The networks consists of two main parts: Generator -> Takes the noise as input and generates images Discriminator -> Guesses if the image is generated by generator or if the image came from the training data. Generator The generator takes a random uniform noise($z$) also called latent vector, as input and outputs an image, let’s say $x$....