Overview
Diffusion models are a type of generative AI that create new data by simulating a process of gradual transformation. They start with random noise and iteratively refine it to produce high-quality images or other media. This introduction will help you understand the basic concepts, how these models work, and their applications in various fields like art and science.
📚 Key Learning Objectives
- ✓ Explain the basic concept of diffusion models.
- ✓ Identify key components of a diffusion model.
- ✓ Describe the process of generating data using diffusion models.
- ✓ Discuss real-world applications of diffusion models.
- ✓ Evaluate the strengths and limitations of diffusion models.
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