๐๏ธ Week 13 - Deep generative models
This week, we will continue our exploration of generative models, focusing on deep generative models. We will start by discussing the concept of deep generative models and how they differ from traditional generative models. We will then cover Variational Autoencoders (VAEs), a popular type of deep generative model, and how they can be used for tasks such as image generation and representation learning. We will also discuss the training process of VAEs, including the use of the reparameterization trick. Finally, we will explore Generative Adversarial Networks (GANs), another powerful class of deep generative models, and how they can be used for generating realistic images. We will conclude with an overview of diffusion models, the latest trend in generative modeling, and their applications in generating high-quality images.