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Dans ce cours, vous allez apprendre à créer un modèle de sous-titrage d'images à l'aide du deep learning. Vous découvrirez les différents composants de ce type de modèle, comme l'encodeur et le décodeur, et comment l'entraîner et l'évaluer. À la fin du cours, vous serez en mesure de créer vos propres modèles de sous-titrage d'images et de les utiliser pour générer des sous-titres pour des images.
Register for this course and see more details by visiting:
OpenCourser.com/course/dkwhlm/create
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What's inside
Syllabus
Créer un modèle de sous-titrage d'images : présentation
Dans ce module, vous allez apprendre à créer un modèle de sous-titrage d'images à l'aide du deep learning. Vous découvrirez les différents composants de ce type de modèle, comme l'encodeur et le décodeur, et comment l'entraîner et l'évaluer. À la fin du module, vous serez en mesure de créer vos propres modèles de sous-titrage d'images et de les utiliser pour générer des sous-titres pour des images.
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Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches deep learning models for image caption generation, which is relevant in computer vision and natural language processing
Taught by Google Cloud Training, who are recognized for their work in cloud computing and AI
May be suitable for beginners in natural language processing 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 Create Image Captioning Models - Français with these
activities:
Organize and review course materials
Show steps
Build a strong foundation by organizing your notes and reviewing key concepts regularly.
Show steps
-
Gather all course materials, including notes, slides, and assignments
-
Organize materials into a logical structure
-
Review materials and identify areas for improvement
-
Create summaries or flashcards for key concepts
Review the basics of deep learning
Show steps
Solidify your understanding of deep learning concepts to prepare for this course.
Show steps
-
Go through online tutorials or documentation on deep learning
-
Watch videos or attend webinars on deep learning
-
Review your notes or textbooks from previous courses
Build a simple image captioning model
Show steps
Gain hands-on experience with image captioning to better understand the course concepts.
Browse courses on
Image Captioning
Show steps
-
Choose a pre-trained model and dataset
-
Follow a tutorial or documentation to implement the model
-
Experiment with different hyperparameters
-
Evaluate the model's performance
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to open-source projects related to image captioning
Show steps
Gain practical experience and contribute to the image captioning community by working on real-world projects.
Browse courses on
OpenCV
Show steps
-
Identify and select open-source projects
-
Read documentation and familiarize yourself with the codebase
-
Propose and implement improvements or fixes
-
Collaborate with other contributors
Organize and review course materials
Show steps
Build a strong foundation by organizing your notes and reviewing key concepts regularly.
Show steps
Show steps
Show steps
- Gather all course materials, including notes, slides, and assignments
- Organize materials into a logical structure
- Review materials and identify areas for improvement
- Create summaries or flashcards for key concepts
Review the basics of deep learning
Show steps
Solidify your understanding of deep learning concepts to prepare for this course.
Show steps
Show steps
Show steps
- Go through online tutorials or documentation on deep learning
- Watch videos or attend webinars on deep learning
- Review your notes or textbooks from previous courses
Build a simple image captioning model
Show steps
Gain hands-on experience with image captioning to better understand the course concepts.
Browse courses on
Image Captioning
Show steps
Show steps
Show steps
- Choose a pre-trained model and dataset
- Follow a tutorial or documentation to implement the model
- Experiment with different hyperparameters
- Evaluate the model's performance
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to open-source projects related to image captioning
Show steps
Gain practical experience and contribute to the image captioning community by working on real-world projects.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Identify and select open-source projects
- Read documentation and familiarize yourself with the codebase
- Propose and implement improvements or fixes
- Collaborate with other contributors
Career center
Learners who complete Create Image Captioning Models - Français will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing, deploying, and maintaining machine learning models, including image captioning models. This course can help you learn the fundamentals of creating image captioning models, including how to train and evaluate models. It may help you in your role as a Machine Learning Engineer.
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer develops and implements computer vision systems, which use image captioning models to understand and interpret images. This course can help you learn the core concepts of image captioning models. It can provide you with a foundation for success as a Computer Vision Engineer.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs, develops, and deploys AI systems, often incorporating image captioning models. This course can help you build a foundational understanding of image captioning models, which may be beneficial in your career as an Artificial Intelligence Engineer.
Software Engineer
Software Engineer
A Software Engineer designs and develops software applications, which can use image captioning models to add functionality. This course can help you develop a strong foundation in image captioning models, which may be beneficial in your role as a Software Engineer.
Data Analyst
Data Analyst
A Data Analyst analyzes data to find patterns and trends, which can include using image captioning models to extract insights from images. This course can provide you with foundational knowledge of image captioning models, which may be helpful in your role as a Data Analyst.
Data Scientist
Data Scientist
A Data Scientist creates machine learning models, such as image captioning models, to discover patterns and make predictions from data. By studying this course and learning how to create image captioning models, you will better understand how deep learning models work. This course may provide you with foundational knowledge to help you in your role as a Data Scientist.
Product Manager
Product Manager
A Product Manager is responsible for developing and managing products, including products that incorporate image captioning models. This course can provide you with an understanding of the fundamentals of image captioning models, which may be beneficial in your role as a Product Manager.
UX Designer
UX Designer
A UX Designer designs user interfaces and experiences, which can include using image captioning models to improve accessibility. This course can provide you with a foundational understanding of image captioning models, which could be beneficial in your role as a UX Designer.
Content Creator
Content Creator
A Content Creator creates and publishes content, which can include using image captioning models to automate content creation. This course can provide you with an introduction to image captioning models, which may be helpful in your role as a Content Creator.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to improve efficiency and effectiveness. Image captioning models can be used to automate tasks and improve decision-making. This course may provide you with an introduction to image captioning models, which could be beneficial in your role as a Business Analyst.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns, which can include using image captioning models to create targeted advertising. This course can provide you with a basic understanding of image captioning models, which may be beneficial in your role as a Marketing Manager.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation, such as documentation for image captioning models. This course can help you learn the basics of image captioning models, which could be beneficial in your role as a Technical Writer.
Sales Manager
Sales Manager
A Sales Manager leads and manages sales teams, which can include using image captioning models to improve sales processes. This course can provide you with an introduction to image captioning models, which may be helpful in your role as a Sales Manager.
Customer Success Manager
Customer Success Manager
A Customer Success Manager ensures that customers are satisfied with a company's products and services, which can include using image captioning models to improve customer support. This course can provide you with an understanding of the basics of image captioning models, which may be helpful in your role as a Customer Success Manager.
Project Manager
Project Manager
A Project Manager plans and executes projects, which can include projects involving image captioning models. This course can provide you with an introduction to image captioning models, which may be helpful in your role as a Project Manager.
For more career information including salaries, visit:
OpenCourser.com/course/dkwhlm/create
Reading list
We've selected ten 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
Create Image Captioning Models - Français.
Save
Provides a comprehensive overview of generative adversarial networks. It valuable resource for anyone who wants to learn more about this field.
Save
Provides a comprehensive overview of deep learning, including the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of natural language processing with deep learning. It valuable resource for anyone who wants to learn more about this field.
Provides a practical guide to deep learning for computer vision. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of natural language processing, including the core concepts, algorithms, and applications. It valuable resource for anyone who wants to learn more about natural language processing.
Save
Provides a thorough introduction to computer vision, covering a wide range of topics from image formation to object recognition. It useful reference for anyone who wants to learn more about this field.
Save
Provides a comprehensive overview of machine learning, including the core concepts, algorithms, and applications. It valuable resource for anyone who wants to learn more about machine learning.
Provides a practical introduction to deep learning using Python. It valuable resource for anyone who wants to learn how to build and train deep learning models.
Save
Provides a comprehensive introduction to OpenCV, a popular computer vision library. It valuable resource for anyone who wants to learn how to use OpenCV to build and use computer vision applications.
Provides a comprehensive introduction to NLTK, a popular natural language processing library. It valuable resource for anyone who wants to learn how to use NLTK to build and use natural language processing applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dkwhlm/create
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Français
Good to know
Teaches deep learning models for image caption generation, which is relevant in computer vision and natural language processing
Taught by Google Cloud Training, who are recognized for their work in cloud computing and AI
May be suitable for beginners in natural language processing and deep learning
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