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
Access provided by Willis Towers Watson
15,265 already enrolled
Gain insight into a topic and learn the fundamentals.
195 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)
Tools you'll learn
Details to know

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Assessments
1 assignment
Taught in English
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There is 1 module in this course
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Showing 3 of 195
SS
Reviewed on May 30, 2024
Very short course packed with right amount of lecture
AA
Reviewed on Aug 12, 2024
A complex subject but the Coursera Coach was amazing help
RW
Reviewed on Sep 5, 2023
Short and concise, but provides a good overall understanding of AI image generation.
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