Deep Generative Modeling

Deep Generative Modeling

Explore deep generative modeling in this lecture from MIT's Introduction to Deep Learning course. Learn about supervised vs unsupervised learning, outlier detection, and latent variable models. Dive into autoencoders, Variational Autoencoders (VAEs), and their optimization techniques. Discover Generative Adversarial Networks (GANs), including progressive growing of GANs and style-based generators. Examine domain transformation with CycleGAN and gain a comprehensive understanding of deep generative modeling techniques and applications.