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Google Cloud Training

本課程將介紹擴散模型,這是一種機器學習模型,近期在圖像生成領域展現亮眼潛力。概念源自物理學,尤其深受熱力學影響。過去幾年來,在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中,擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論,並說明如何在 Vertex AI 上訓練和部署這些模型。

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What's inside

Syllabus

圖像生成 簡介
本課程將介紹擴散模型,這是一種機器學習模型,近期在圖像生成領域展現亮眼潛力。概念源自物理學,尤其深受熱力學影響。過去幾年來,在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中,擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論,並說明如何在 Vertex AI 上訓練和部署這些模型。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Google Cloud Training, who are recognized for their work in the topic that the course teaches
Develops highly relevant skills for industry
Teaches innovative approaches to an established topic
Requires learners to come in with extensive background knowledge first

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Image Generation - 繁體中文 with these activities:
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  • 组建学习小组
  • 定期举行讨论会
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Career center

Learners who complete Introduction to Image Generation - 繁體中文 will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Researcher
Artificial Intelligence Researchers develop new artificial intelligence algorithms and models. This course may be useful for Artificial Intelligence Researchers who want to learn more about image generation, as it can help them develop new methods for generating realistic images. Additionally, the course can help Artificial Intelligence Researchers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Computer Vision Engineer
Computer Vision Engineers design, build, and deploy computer vision systems. This course may be useful for Computer Vision Engineers who want to learn more about image generation, as it can help them develop new methods for generating synthetic images for training and testing computer vision models. Additionally, the course can help Computer Vision Engineers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Data Scientist
Data Scientists use machine learning and other techniques to extract insights from data. This course may be useful for Data Scientists who want to learn more about image generation, as it can help them develop new methods for analyzing and visualizing data. Additionally, the course can help Data Scientists build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. This course may be useful for Machine Learning Engineers who want to learn more about image generation, as it can help them develop new models for generating realistic images. Additionally, the course can help Machine Learning Engineers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Software Engineer
Software Engineers design, build, and deploy software applications. This course may be useful for Software Engineers who want to learn more about image generation, as it can help them develop new applications for generating and manipulating images. Additionally, the course can help Software Engineers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Data Analyst
Data Analysts collect, analyze, and interpret data. This course may be useful for Data Analysts who want to learn more about image generation, as it can help them develop new methods for visualizing and analyzing data. Additionally, the course can help Data Analysts build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new algorithms and models.
Graphics Designer
Graphics Designers create visual content for a variety of purposes. This course may be useful for Graphics Designers who want to learn more about image generation, as it can help them develop new techniques for creating and manipulating images. Additionally, the course can help Graphics Designers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new design principles.
Product Manager
Product Managers develop and manage software products. This course may be useful for Product Managers who want to learn more about image generation, as it can help them develop new products for generating and manipulating images. Additionally, the course can help Product Managers build a foundation in the theoretical underpinnings of image generation, which can be useful for making informed decisions about product development.
User Experience Designer
User Experience Designers design and evaluate user interfaces. This course may be useful for User Experience Designers who want to learn more about image generation, as it can help them develop new ways to present and interact with images. Additionally, the course can help User Experience Designers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new design principles.
Animator
Animators create animated content for a variety of purposes. This course may be useful for Animators who want to learn more about image generation, as it can help them develop new techniques for creating and manipulating images. Additionally, the course can help Animators build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new animation principles.
Video Editor
Video Editors create and edit videos. This course may be useful for Video Editors who want to learn more about image generation, as it can help them develop new techniques for creating and manipulating images. Additionally, the course can help Video Editors build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new video editing techniques.
Web Developer
Web Developers design and develop websites. This course may be useful for Web Developers who want to learn more about image generation, as it can help them develop new ways to use images on the web. Additionally, the course can help Web Developers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new web development techniques.
Game Developer
Game Developers design and develop video games. This course may be useful for Game Developers who want to learn more about image generation, as it can help them develop new techniques for creating and manipulating images. Additionally, the course can help Game Developers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new game development techniques.
Photographer
Photographers take pictures and create images. This course may be useful for Photographers who want to learn more about image generation, as it can help them develop new techniques for creating and manipulating images. Additionally, the course can help Photographers build a foundation in the theoretical underpinnings of image generation, which can be useful for developing new photography techniques.
Art Director
Art Directors oversee the visual aspects of a variety of projects. This course may be useful for Art Directors who want to learn more about image generation, as it can help them develop new ways to use images in their work. Additionally, the course can help Art Directors build a foundation in the theoretical underpinnings of image generation, which can be useful for making informed decisions about the use of images.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Image Generation - 繁體中文.
Provides a comprehensive overview of machine learning, including a chapter on generative models. It valuable resource for anyone looking to learn more about the theory and practice of machine learning.
Provides a comprehensive overview of generative adversarial networks (GANs), a type of deep learning model that can generate new data from a given dataset. It valuable resource for anyone interested in learning more about GANs and their applications in image generation.
這本書提供了自然語言處理中深度學習的全面概述,包括一章關於生成模型。對於那些想要了解生成式 AI 理論和實踐的人來說,這是一本有價值的資源。
Provides a comprehensive overview of deep learning for computer vision, including image classification, object detection, and image segmentation. It valuable resource for anyone interested in learning more about deep learning and its applications in image generation.
Provides a comprehensive overview of computer vision, including image processing, feature extraction, and object recognition. It valuable resource for anyone interested in learning more about the foundations of image generation.
Provides a comprehensive overview of digital image processing, including image enhancement, image restoration, and image compression. It valuable resource for anyone interested in learning more about the technical aspects of image generation.

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