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    01

    Introduction to Image Generation

    01

    Introduction to Image Generation

    magic_button Image Generation Machine Learning Model Training Machine Learning Models
    These skills were generated by A.I. Do you agree this course teaches these skills?
    30 minutes Intermediate universal_currency_alt No cost

    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.

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    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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    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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