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En este curso, se presenta una introducción a los modelos de difusión: una familia de modelos de aprendizaje automático que demostraron ser muy prometedores en el área de la generación de imágenes. Los modelos de difusión se inspiran en la física, específicamente, en la termodinámica. En los últimos años, los modelos de difusión se han vuelto populares tanto en investigaciones como en la industria. Los modelos de difusión respaldan muchos de los modelos de generación de imágenes y herramientas vanguardistas de Google Cloud. En este curso, se presenta la teoría detrás de los modelos de difusión y cómo entrenarlos y, luego, implementarlos en Vertex AI.
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What's inside
Syllabus
Introducción a la generación de imágenes
En este curso, se presenta una introducción a los modelos de difusión: una familia de modelos de aprendizaje automático que demostraron ser muy prometedores en el área de la generación de imágenes. Los modelos de difusión respaldan muchos de los modelos de generación de imágenes y herramientas vanguardistas de Google Cloud. En este curso, se presenta la teoría detrás de los modelos de difusión y cómo entrenarlos y, luego, implementarlos en Vertex AI.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Presents a strong introduction to a cutting-edge topic
Offers hands-on experience and practical knowledge
Taught by Google Cloud experts in machine learning
Provides a strong foundation for learners interested in image generation and diffusion models
Course assumes prior experience with machine learning and deep learning
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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 - Español with these
activities:
Compilación de materiales
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Mejora tu comprensión y retención revisando y organizando materiales del curso.
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-
Recopila notas, tareas, cuestionarios y exámenes del curso
-
Organiza y resume los materiales clave
-
Utiliza técnicas de estudio activo para mejorar tu retención
Participate in a workshop on diffusion models
Show steps
Offers hands-on experience and guidance from experts.
Show steps
-
Find workshops on diffusion models offered by universities or online platforms.
-
Apply for the workshop and prepare for the hands-on activities.
Follow tutorials on diffusion models using Google Cloud
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Provides practical experience in applying diffusion models using Google Cloud.
Show steps
-
Find tutorials on Coursera or the Google Cloud documentation.
-
Step through the tutorials and implement the code examples.
-
Experiment with different parameters and observe the effects on the generated images.
Show all three activities
Compilación de materiales
Show steps
Mejora tu comprensión y retención revisando y organizando materiales del curso.
Show steps
Show steps
Show steps
- Recopila notas, tareas, cuestionarios y exámenes del curso
- Organiza y resume los materiales clave
- Utiliza técnicas de estudio activo para mejorar tu retención
Participate in a workshop on diffusion models
Show steps
Offers hands-on experience and guidance from experts.
Show steps
Show steps
Show steps
- Find workshops on diffusion models offered by universities or online platforms.
- Apply for the workshop and prepare for the hands-on activities.
Follow tutorials on diffusion models using Google Cloud
Show steps
Provides practical experience in applying diffusion models using Google Cloud.
Show steps
Show steps
Show steps
- Find tutorials on Coursera or the Google Cloud documentation.
- Step through the tutorials and implement the code examples.
- Experiment with different parameters and observe the effects on the generated images.
Show all three activities
Career center
Learners who complete Introduction to Image Generation - Español will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Scientist
Artificial Intelligence Scientist
Artificial Intelligence Scientists use both theoretical and applied knowledge to develop bleeding-edge AI solutions to complex problems. Courses such as Introduction to Image Generation - Español are very relevant to this field as AI Scientists need to have a strong foundation in the latest image generation technologies, models, and techniques. This course could thus be a valuable asset to an AI Scientist's toolset for working with images.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design, develop, and evaluate computer vision systems for use in applications that analyze visual data. Introduction to Image Generation - Español could be a great fit for someone in this field. This is because the course provides hands-on experience in image generation models which is helpful to Computer Vision Engineers who may deal with such tasks in their day-to-day work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models for applications ranging from natural language processing to computer vision. Introduction to Image Generation - Español could be useful for Machine Learning Engineers who need to upskill or advance their knowledge in generating images using the latest techniques and models. This is especially helpful if they are working on image-heavy ML projects.
Data Scientist
Data Scientist
Data Scientists use data to solve complex business challenges. This requires expertise in working with data, as well as knowledge of data science techniques and methodologies. Courses like Introduction to Image Generation - Español could be a valuable addition to a Data Scientist's skillset. This is especially useful for Data Scientists who work with visual data and need to develop or implement image generation models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Image generation is becoming increasingly important in software development, and Introduction to Image Generation - Español could help Software Engineers build a foundation in this area. This is especially valuable for those who wish to contribute to the development of image generation tools or applications.
Game Developer
Game Developer
Game Developers design, develop, and test video games. Introduction to Image Generation - Español is a great fit for someone in this field, as it could help them learn how to generate images for use in video games. This may include generating textures, backgrounds, or even characters.
Product Manager
Product Manager
Product Managers are responsible for the development and marketing of products. Introduction to Image Generation - Español may be somewhat useful for someone in this field. Knowledge of image generation models and techniques can help Product Managers make informed decisions about how to use images in their products.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate the user experience of products and services. Introduction to Image Generation - Español may be useful for someone in this field, as it could help them understand how to use images to improve the user experience.
Graphic designer
Graphic designer
Graphic Designers create visual content for a variety of purposes, such as marketing, advertising, and web design. Introduction to Image Generation - Español may be mildly helpful for someone in this field. It could aid Graphic Designers in understanding image generation technologies and their potential use in graphic design.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. Introduction to Image Generation - Español may be mildly helpful for someone in this field. It could help Web Developers understand the basics of image generation, but most tasks will likely not encompass building or training image generation models.
Videographer
Videographer
Videographers capture and edit video footage for a variety of purposes, such as filmmaking, journalism, and marketing. Introduction to Image Generation - Español likely has minimal relevance for those in this role. Videographers are focused on capturing and editing video, and image generation is not a central part of this process.
Photographer
Photographer
Photographers capture images for a variety of purposes, such as journalism, art, and commercial photography. Introduction to Image Generation - Español likely has minimal relevance for those in this role. While understanding image generation technologies could be somewhat interesting, it will not directly aid in the day-to-day work of a Photographer.
Architect
Architect
Architects design and oversee the construction of buildings and other structures. Introduction to Image Generation - Español likely has no relevance for someone in this field. Architects are focused on the design and construction of physical buildings, and image generation is not a relevant skill for this role.
Doctor
Doctor
Doctors diagnose and treat illnesses and injuries. Introduction to Image Generation - Español likely has no relevance for someone in this field. Medical work is focused on treating and preventing diseases, and image generation does not play a role in this process.
Lawyer
Lawyer
Lawyers advise clients on legal matters and represent them in court. Introduction to Image Generation - Español likely has no relevance for someone in this field. Legal work is focused on interpreting and applying laws, and image generation does not play a role in this process.
For more career information including salaries, visit:
OpenCourser.com/course/51sw0b/introduction
Reading list
We've selected eight 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 - Español.
Save
Provides a comprehensive overview of generative adversarial networks (GANs), including their theoretical foundations, training algorithms, and applications. It valuable resource for anyone interested in understanding the fundamentals of GANs.
Provides a comprehensive overview of deep learning for computer vision, including convolutional neural networks, object detection, and image segmentation. It valuable resource for anyone interested in understanding the fundamentals of deep learning for computer vision.
Save
Provides a comprehensive overview of computer vision algorithms and applications, including image formation, feature extraction, object detection, and image segmentation. It valuable resource for anyone interested in understanding the fundamentals of computer vision.
Este libro proporciona una introducción completa al aprendizaje automático con Python. Cubre una amplia gama de temas, incluida la generación de imágenes, que es un área de aplicación clave para los modelos de difusión.
Provides a comprehensive overview of pattern recognition and machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in understanding the fundamentals of pattern recognition and machine learning.
Save
Provides a comprehensive overview of computer graphics, including raster graphics, vector graphics, and 3D graphics. It valuable resource for anyone interested in understanding the fundamentals of computer graphics.
Provides a comprehensive overview of computer vision with Python, including image processing, feature extraction, object detection, and image segmentation. It valuable resource for anyone interested in understanding the fundamentals of computer vision with Python.
Save
Provides a comprehensive overview of image processing with OpenCV, including image enhancement, image restoration, and image compression. It valuable resource for anyone interested in understanding the fundamentals of image processing with OpenCV.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/51sw0b/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Español
Transcript
English
Good to know
Presents a strong introduction to a cutting-edge topic
Offers hands-on experience and practical knowledge
Taught by Google Cloud experts in machine learning
Provides a strong foundation for learners interested in image generation and diffusion models
Course assumes prior experience with machine learning and deep learning
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