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Create Image Captioning Models
Google Cloud Training
Google Cloud Training
This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
Register for this course and see more details by visiting:
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What's inside
Syllabus
Create Image Captioning Models: Overview
This module teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this module, you will be able to create your own image captioning models and use them to generate captions for images
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in image captioning, a core skill for artificial intelligence and machine learning
Emphasizes model training and evaluation, which are key for practical use of image captioning
Taught by Google Cloud Training, recognized for expertise in cloud computing and related technologies
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Activities
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Create Image Captioning Models.
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Career center
Learners who complete Create Image Captioning Models will develop knowledge and skills
that may be useful to these careers:
Computer Scientist
Computer Scientist
Computer Scientists conduct research in a variety of areas of computer science, including machine learning, computer vision, and natural language processing. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Computer Scientists to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Computer Scientist.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers conduct research in the field of machine learning, developing new algorithms and techniques for solving real-world problems. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Machine Learning Researchers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Machine Learning Researcher.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, build, and maintain artificial intelligence systems. This course teaches you how to create an image captioning model by using deep learning, which is a fundamental skill for Artificial Intelligence Engineers to have. By taking this course, you will learn how to use machine learning to solve real-world artificial intelligence problems, which will help you succeed in your career as an Artificial Intelligence Engineer.
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including machine learning, computer vision, and natural language processing. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Research Scientists to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Research Scientist.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement systems that can understand and generate human language. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Natural Language Processing Engineers to have. By taking this course, you will learn how to use machine learning to solve real-world natural language processing problems, which will help you succeed in your career as a Natural Language Processing Engineer.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems, which are used in a wide variety of applications, such as self-driving cars and medical imaging. This course teaches you how to create an image captioning model by using deep learning, which is a fundamental skill for Computer Vision Engineers to have. By taking this course, you will learn how to use machine learning to solve real-world computer vision problems, which will help you succeed in your career as a Computer Vision Engineer.
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights that can be used to improve business decisions. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Data Scientists to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software systems. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Software Engineers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Software Engineer.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract insights that can be used to improve business decisions. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Data Analysts to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Data Analyst.
Product Manager
Product Manager
Product Managers define the vision for a product and work with engineers and designers to bring it to life. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Product Managers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Product Manager.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers create and maintain the machine learning models that run many of the technologies we rely on each day, from the search engine that finds the best search results for you to the spam filter that keeps your email inbox clean. This course teaches you how to create an image captioning model by using deep learning, which will help build a foundation for creating other types of machine learning models. If you want to become a Machine Learning Engineer, this course may be useful.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Business Analysts to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Business Analyst.
Customer Success Manager
Customer Success Manager
Customer Success Managers work with customers to ensure that they are successful with a product or service. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Customer Success Managers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Customer Success Manager.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Marketing Managers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Marketing Manager.
Sales Manager
Sales Manager
Sales Managers lead and manage sales teams to achieve sales goals. This course teaches you how to create an image captioning model by using deep learning, which is a valuable skill for Sales Managers to have. By taking this course, you will learn how to use machine learning to solve real-world problems, which will help you succeed in your career as a Sales Manager.
For more career information including salaries, visit:
OpenCourser.com/course/zn5xo4/create
Reading list
We've selected 13 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.
Provides a comprehensive overview of deep learning for computer vision, covering topics such as image classification, object detection, and semantic segmentation.
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Provides a comprehensive overview of computer vision, covering topics such as image formation, feature extraction, and object recognition.
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Provides a comprehensive overview of generative adversarial networks, covering topics such as architectures, training methods, and applications.
Provides a comprehensive overview of deep learning for natural language processing, covering topics such as text classification, sentiment analysis, and machine translation.
Provides a comprehensive overview of speech and language processing, covering topics such as speech recognition, natural language understanding, and language generation.
Provides a comprehensive overview of pattern recognition and machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of the mathematics used in machine learning, covering topics such as linear algebra, probability theory, and optimization.
Provides a practical guide to deep learning with Python, covering topics such as building and training neural networks.
Provides a practical guide to machine learning with Scikit-Learn, Keras, and TensorFlow, covering topics such as building and training machine learning models.
Provides a practical guide to machine learning with Python, covering topics such as building and training machine learning models.
Provides a comprehensive overview of statistical learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
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Provides a comprehensive overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
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Provides a comprehensive overview of deep learning, covering topics such as architectures, training methods, and applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zn5xo4/create
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops skills in image captioning, a core skill for artificial intelligence and machine learning
Emphasizes model training and evaluation, which are key for practical use of image captioning
Taught by Google Cloud Training, recognized for expertise in cloud computing and related technologies
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