"How Diffusion Models Work" offers an in-depth exploration into the realm of diffusion-based generative AI, empowering learners to build their own models. Key course features include:
- In-Depth Learning: Understand the nuances of diffusion processes and model mechanisms beyond using standard tools.
- Practical Skills: Engage in labs focusing on model sampling, training, neural network development, and contextual image generation.
- Foundational Knowledge: Conclude with a robust model foundation, inspiring further exploration in diffusion model applications.
Facilitated by Sharon Zhou, this concise course enhances your generative AI toolkit, emphasizing practical experience through interactive content and Jupyter notebooks.