Build GAN with PyTorch and Amazon SageMaker

GAN is a generative ML model that is widely used in advertising, games, entertainment, media, pharmaceuticals, and other industries. You can use it to create fictional characters and scenes, simulate facial aging, change image styles, produce chemical formulas synthetic data, and more. For example, the following images show the effect of picture-to-picture conversion. The following images show the effect of synthesizing scenery based on semantic layout. This post walks you through building your first GAN model using Amazon SageMaker. This is a journey of learning GAN from the perspective of practical engineering experiences, as well as opening a new AI/ML domain of generative models.