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https://github.com/neeraj1bh/diffusion-models
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
https://github.com/neeraj1bh/diffusion-models
context controlling coursera diffusion-models fast-sampling neural-network sampling speeding-up training
Last synced: about 8 hours ago
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In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
- Host: GitHub
- URL: https://github.com/neeraj1bh/diffusion-models
- Owner: neeraj1bh
- Created: 2024-02-29T16:56:44.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-02T12:28:58.000Z (11 months ago)
- Last Synced: 2024-04-23T00:10:02.956Z (10 months ago)
- Topics: context, controlling, coursera, diffusion-models, fast-sampling, neural-network, sampling, speeding-up, training
- Language: Jupyter Notebook
- Homepage: https://www.deeplearning.ai/short-courses/how-diffusion-models-work/
- Size: 67.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## How Diffusion Models Work: Course Overview
"**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.