• Introduction to GAN
    • Deriving the MiniMax Loss Function
    • Analysis of Least Squares Loss Function
    • GAN Architecture Used
    • Coding the Generator and Discriminator Architecture
    • Function and GAN Estimator
    • Modifying GAN Framework to Change Dataset and Loss Function
  • The generative revolution: coming home
    • The present and future of AI is generative
    • Applications of generative AI