The purpose of GAN

• The purpose of GAN:
  We say that each picture is a low-dimensional manifold in a high-dimensional space. What does it mean? Every 64*64 picture is a point in a 64*64-dimensional high-dimensional space, so when we put it in a two-dimensional space and represent it as a picture, it means that it is a manifold of high-dimensional information in low-dimensional . The purpose of GAN is to simulate a distribution similar to real data by estimating the distribution of real pictures in high-dimensional space.