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Learner Reviews & Feedback for How Diffusion Models Work by DeepLearning.AI
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About the Course
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.
In this course you will:
1. Explore the cutting-edge world of diffusion-based generative AI and create your own diffusion model from scratch.
2. Gain deep familiarity with the diffusion process and the models driving it, going beyond pre-built models and APIs.
3. Acquire practical coding skills by working through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation.
At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.
This one-hour course, taught by Sharon Zhou will expand your generative AI capabilities to include building, training, and optimizing diffusion models.
Hands-on examples make the concepts easy to understand and build upon. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and labs presented in the course.
Top reviews
TN
Nov 24, 2023
Janet Zhou was able to explain simply, not waste too much time on details, yet give opportunity to go much deeper into code. I would like to see a next level course on same topics.
GL
Mar 9, 2024
Excellent course. The instructor clearly explained the basics of diffusion models and brought us through a full fun example of generating images with those models :)
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26 - 26 of 26 Reviews for How Diffusion Models Work
By Ismail Q
•Jan 25, 2024
Was not in detail , not beginner friendly. labs shouldve been coded in the video and explained so students can follow along