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Google Cloud Training
Questo corso introduce i modelli di diffusione, una famiglia di modelli di machine learning che recentemente si sono dimostrati promettenti nello spazio di generazione delle immagini. I modelli di diffusione traggono ispirazione dalla fisica, in particolare dalla termodinamica. Negli ultimi anni, i modelli di diffusione sono diventati popolari sia nella ricerca che nella produzione. I modelli di diffusione sono alla base di molti modelli e strumenti di generazione di immagini all'avanguardia su Google Cloud. Questo corso ti introduce alla teoria alla base dei modelli di diffusione e a come addestrarli ed eseguirne il deployment su Vertex AI.
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What's inside
Syllabus
Introduzione alla generazione di immagini
Questo corso introduce i modelli di diffusione, una famiglia di modelli di machine learning che recentemente si sono dimostrati promettenti nello spazio di generazione delle immagini. I modelli di diffusione traggono ispirazione dalla fisica, in particolare dalla termodinamica. Negli ultimi anni, i modelli di diffusione sono diventati popolari sia nella ricerca che nella produzione. I modelli di diffusione sono alla base di molti modelli e strumenti di generazione di immagini all'avanguardia su Google Cloud. Questo corso ti introduce alla teoria alla base dei modelli di diffusione e a come addestrarli ed eseguirne il deployment su Vertex AI.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Tratta dei modelli di diffusione, una forma all'avanguardia di generazione di immagini con AI
Sviluppato dai ricercatori di Google AI esperti nel settore
Mostra come addestrare e distribuire modelli di diffusione su Vertex AI, la piattaforma di machine learning di Google Cloud
Coinvolge gli studenti nella teoria alla base dei modelli di diffusione
Richiede conoscenze pregresse di machine learning e apprendimento approfondito
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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 - Italiano with these
activities:
Raccogli le risorse
Show steps
Raccogliere e organizzare le risorse e i materiali ti consentirà di accedere facilmente alle informazioni necessarie durante lo studio.
Show steps
-
Raccogli i materiali del corso
-
Rivedi i moduli e gli esercizi
-
Organizza i materiali per argomento
Esercitarsi con i notebook Jupyter
Show steps
Esercitarti con i notebook Jupyter ti aiuterà a sviluppare abilità pratiche nell'implementazione e nella modifica dei modelli di diffusione.
Browse courses on
Jupyter Notebook
Show steps
-
Installa Jupyter Notebook sul tuo computer
-
Importa le librerie e i dataset necessari
-
Segui i tutorial online o la documentazione per creare e प्रशिक्षण i modelli di diffusione
-
Sperimenta con diversi parametri e architetture modello
Contribuisci a un progetto open source sui modelli di diffusione
Show steps
Contribuire a un progetto open source sui modelli di diffusione ti consentirà di apprendere dalle migliori pratiche e condividere le tue conoscenze con la comunità.
Browse courses on
Open Source
Show steps
-
Individua i progetti open source pertinenti su GitHub o altre piattaforme
-
Leggi la documentazione e familiarizza con il codice esistente
-
Individua un'area a cui potresti contribuire
-
Implementa le tue modifiche o funzionalità
-
Invia una richiesta pull e collabora con altri collaboratori
Show all three activities
Raccogli le risorse
Show steps
Raccogliere e organizzare le risorse e i materiali ti consentirà di accedere facilmente alle informazioni necessarie durante lo studio.
Show steps
Show steps
Show steps
- Raccogli i materiali del corso
- Rivedi i moduli e gli esercizi
- Organizza i materiali per argomento
Esercitarsi con i notebook Jupyter
Show steps
Esercitarti con i notebook Jupyter ti aiuterà a sviluppare abilità pratiche nell'implementazione e nella modifica dei modelli di diffusione.
Browse courses on
Jupyter Notebook
Show steps
Show steps
Show steps
- Installa Jupyter Notebook sul tuo computer
- Importa le librerie e i dataset necessari
- Segui i tutorial online o la documentazione per creare e प्रशिक्षण i modelli di diffusione
- Sperimenta con diversi parametri e architetture modello
Contribuisci a un progetto open source sui modelli di diffusione
Show steps
Contribuire a un progetto open source sui modelli di diffusione ti consentirà di apprendere dalle migliori pratiche e condividere le tue conoscenze con la comunità.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Individua i progetti open source pertinenti su GitHub o altre piattaforme
- Leggi la documentazione e familiarizza con il codice esistente
- Individua un'area a cui potresti contribuire
- Implementa le tue modifiche o funzionalità
- Invia una richiesta pull e collabora con altri collaboratori
Show all three activities
Career center
Learners who complete Introduction to Image Generation - Italiano will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers build, deploy, and maintain computer vision models. These models enable machines to analyze images and videos to understand their content. This course introduces the theory, training, and deployment of diffusion models, a recent advancement in the field of computer vision. Diffusion models are being used on Google Cloud to advance the state of the art of image generation. As such, they are an important tool in the arsenal of any Computer Vision Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. These models enable machines to make predictions based on data. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of machine learning that combines ideas from physics and computer science. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists analyze data to uncover insights and trends. They use these insights to make recommendations and solve business problems. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of machine learning that combines ideas from physics and computer science. Diffusion models are being used on Google Cloud to advance the state of the art of image generation. As such, they are an important tool in the arsenal of any Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of computer science. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any Software Engineer who wants to work on cutting-edge applications.
Product Manager
Product Manager
Product Managers are responsible for the development and success of software products. They work with engineers, designers, and marketers to bring products to market. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that shows promise for image generation. Diffusion models are being used on Google Cloud to build image generation models. As such, they are an important tool for any Product Manager who wants to develop cutting-edge software products.
UX Designer
UX Designer
UX Designers are responsible for the user experience of software products. They work with product managers, engineers, and marketers to create products that are easy to use and enjoyable. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that aids in the generation of new images. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any UX Designer who wants to develop cutting-edge software products.
Visual Effects Artist
Visual Effects Artist
Visual Effects Artists create visual effects for movies, television, and video games. They use a variety of software tools to create realistic and fantastical images. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of computer science that combines ideas from physics and computer science. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any Visual Effects Artist who wants to create cutting-edge visual effects.
Game Developer
Game Developer
Game Developers design, develop, and maintain video games. They use a variety of software tools to create immersive and engaging experiences. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of computer science that combines ideas from physics and computer science. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any Game Developer who wants to create cutting-edge video games.
Graphic designer
Graphic designer
Graphic Designers create visual content for a variety of purposes, including marketing, branding, and web design. They use a variety of software tools to create images, logos, and other visual elements. This course introduces the theory, training, and deployment of diffusion models, a recent development in the field of computer science that shows promise in the generation of new images. Diffusion models are being used on Google Cloud to power image generation models. As such, they are an important tool for any Graphic Designer who wants to push the boundaries of visual communication.
Photographer
Photographer
Photographers take pictures for a variety of purposes, including art, journalism, and commercial photography. They use a variety of cameras and lenses to capture images. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that allows for the generation of novel images. Diffusion models are being used on Google Cloud to build image generation models. As such, they are an important tool for any Photographer who wants to explore new creative possibilities.
Artist
Artist
Artists create visual art for a variety of purposes, including self-expression, communication, and social commentary. They use a variety of materials and techniques to create their work. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that allows for the generation of novel images. Diffusion models are used on Google Cloud to power image generation models. As such, they are a valuable tool for any Artist who wants to create cutting-edge art.
Architect
Architect
Architects design and oversee the construction of buildings and other structures. They use a variety of software tools to create blueprints and other design documents. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that shows promise in the generation of new images. Diffusion models are being used on Google Cloud to build image generation models. As such, they may be a valuable tool for any Architect who wants to explore new design possibilities.
Interior designer
Interior designer
Interior Designers create the interior spaces of buildings. They use a variety of software tools to create floor plans and other design documents. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that shows promise in the generation of new images. Diffusion models are being used on Google Cloud to build image generation models. As such, they may be a valuable tool for any Interior Designer who wants to explore new design possibilities.
Fashion Designer
Fashion Designer
Fashion Designers create clothing and accessories. They use a variety of software tools to create sketches and other design documents. This course introduces the theory, training, and deployment of diffusion models, a new development in the field of computer science that shows promise in the generation of new images. Diffusion models are being used on Google Cloud to build image generation models. As such, they may be a valuable tool for any Fashion Designer who wants to explore new design possibilities.
For more career information including salaries, visit:
OpenCourser.com/course/j9eaan/introduction
Reading list
We've selected 15 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 - Italiano.
Save
The seminal work on generative adversarial networks (GANs), a type of deep learning model that is particularly well-suited for image generation.
A comprehensive introduction to deep learning for computer vision, covering a wide range of topics including image classification, object detection, and image segmentation.
Save
Provides a comprehensive overview of deep learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Save
A classic textbook on computer vision, providing a thorough overview of the field and its applications.
A comprehensive reference on digital image processing, covering topics such as image enhancement, image restoration, and image compression.
Provides a comprehensive overview of probabilistic graphical models, their history, and their applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of Bayesian reasoning and machine learning, their history, and their applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of reinforcement learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of pattern recognition and machine learning, their history, and their applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of statistical learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of machine learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of machine learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of machine learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of deep learning, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
Provides a comprehensive overview of natural language processing, its history, and its applications. It valuable resource for anyone interested in learning more about this emerging field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j9eaan/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Italiano
Transcript
English
Good to know
Tratta dei modelli di diffusione, una forma all'avanguardia di generazione di immagini con AI
Sviluppato dai ricercatori di Google AI esperti nel settore
Mostra come addestrare e distribuire modelli di diffusione su Vertex AI, la piattaforma di machine learning di Google Cloud
Coinvolge gli studenti nella teoria alla base dei modelli di diffusione
Richiede conoscenze pregresse di machine learning e apprendimento approfondito
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