Introduction to Image Generation
Introduction to Image Generation
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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.
Course Info
Objectives
- How diffusion models work
- Real use-cases for diffusion models
- Unconditioned diffusion models
- Advancements in diffusion models (text-to-image)
Prerequisites
Machine learning
Deep learning
Convolutional neural nets (CNNs)
Python Programming
Audience
Data scientists, machine learning engineers, researchers working on developing new image generation models and developers interested in building applications that use image generation
Available languages
English, español (Latinoamérica), français, עברית, bahasa Indonesia, italiano, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文, Deutsch, and Türkçe
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