This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Introduction to Image Generation
Introduction to Image Generation
Instructor: Google Cloud Training
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Gain insight into a topic and learn the fundamentals.
4.5
(139 reviews)
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
How diffusion models work
Real use-cases for diffusion models
Unconditioned diffusion models
Advancements in diffusion models (text-to-image)
Details to know
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
What's included
1 video1 assignment
Instructor
Instructor ratings
4.7 (36 ratings)Offered by
Recommended if you're interested in Cloud Computing
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4.5
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AA
4
Reviewed on Aug 12, 2024
A complex subject but the Coursera Coach was amazing help
RW
4
Reviewed on Sep 5, 2023
Short and concise, but provides a good overall understanding of AI image generation.
KK
5
Reviewed on Apr 24, 2024
An easy-to-understand overview of Image Generation models focused on the Diffusion Model.
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