This introductory course offers a comprehensive exploration of Generative AI, including Transformers, ChatGPT for generating text, and Generative Adversarial Networks (GANs), the Diffusion Model for generating images. By the end of this course, you will gain a basic understanding of these Generative AI models, their underlying theories, and practical considerations. You will build a solid foundation and become ready to dive deeper into more advanced topics in the next course.
Overview
Syllabus
- Generative Model
- Welcome to "Introduction to Generative AI." This first week, you will learn about the basics of a Generative Model.
- Generative Adversarial Network (GAN)
- This week, you will learn about the Generative Adversarial Network, the first successful deep learning approach to generating realistic looking images, which started a new wave of generative AI research.
- Language Model
- This week, you will learn about Language Models for Generative AI, including Transformer and ChatGPT.
- Image Model
- This week, you will learn about Image Models for Generative AI, from basic probabilistic models to state-of-the art Diffusion Models.
Taught by
Tom Yeh
