From the course: Hands-On Generative AI with Diffusion Models: Building Real-World Applications
What you should know
From the course: Hands-On Generative AI with Diffusion Models: Building Real-World Applications
What you should know
- [Instructor] Before we dive into the intricate world of diffusion models, it's crucial to have a solid foundation in some key areas. Some skills that would be nice to have, but not necessary, would be a basic understanding of machine learning principles, including how neural networks function, and also some familiarity with PyTorch, a popular deep learning library. This library is used extensively for building and training diffusion models, so it's good to know. There are also some required foundational principles. You need to know how to use Python, including its libraries and the syntax for data handling and machine learning. Having some experience working with Jupyter Notebooks is also useful. We'll be using this for coding, running experiments, and visualizing the images that our diffusion models generate.
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