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Create Image Captioning Models - Português Brasileiro
Google Cloud Training
Google Cloud Training
Neste curso, ensinamos a criar um modelo de legenda para imagens usando aprendizado profundo. Você vai aprender sobre os diferentes componentes de um modelo de legenda para imagens, como o codificador e decodificador, e de que forma treinar e avaliar seu modelo. Ao final deste curso, você será capaz de criar e usar seus próprios modelos de legenda para imagens.
Register for this course and see more details by visiting:
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What's inside
Syllabus
Criar modelos de legenda para imagens: Informações gerais
Neste módulo, ensinamos a criar um modelo de legenda para imagens usando aprendizado profundo. Você vai aprender sobre os diferentes componentes de um modelo de legenda para imagens, como o codificador e decodificador, e de que forma treinar e avaliar seu modelo. Ao final deste módulo, você será capaz de criar e usar seus próprios modelos de legenda para imagens.
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Career center
Learners who complete Create Image Captioning Models - Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems. This course is specifically relevant to Computer Vision Engineers because it teaches how to create and use image captioning models, which are a type of computer vision model. This course can help Computer Vision Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as object detection, image recognition, and self-driving cars.
Image Processing Engineer
Image Processing Engineer
Image Processing Engineers develop and implement image processing systems. This course is specifically relevant to Image Processing Engineers because it teaches how to create and use image captioning models, which are a type of image processing model. This course can help Image Processing Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as image enhancement, image restoration, and image analysis.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers create, test, and maintain machine learning algorithms. This course is specifically relevant to Machine Learning Engineers because it teaches how to create and use image captioning models, which are a type of machine learning model. This course can help Machine Learning Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
Deep Learning Engineer
Deep Learning Engineer
Deep Learning Engineers design, develop, and maintain deep learning systems. This course is relevant to Deep Learning Engineers because it teaches how to create and use image captioning models, which are a type of deep learning model. This course can help Deep Learning Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as image classification, object detection, and image segmentation.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course is relevant to Artificial Intelligence Engineers because it teaches how to create and use image captioning models, which are a type of artificial intelligence model. This course can help Artificial Intelligence Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as natural language processing, speech recognition, and machine learning.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course is relevant to Data Scientists because it teaches how to create and use image captioning models, which can be used to extract insights from images. This course can help Data Scientists to build a foundation in image captioning, which can be used in a variety of applications, such as customer segmentation, product recommendation, and fraud detection.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement natural language processing systems. This course is relevant to Natural Language Processing Engineers because it teaches how to create and use image captioning models, which can be used to improve the accuracy of natural language processing systems. This course can help Natural Language Processing Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as machine translation, text summarization, and chatbots.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers develop new machine learning algorithms and techniques. This course is relevant to Machine Learning Researchers because it teaches how to create and use image captioning models, which are a type of machine learning model. This course can help Machine Learning Researchers to build a foundation in image captioning, which can be used to develop new machine learning algorithms and techniques for a variety of applications.
Computer Scientist
Computer Scientist
Computer Scientists design, develop, and implement computer systems. This course is relevant to Computer Scientists because it teaches how to create and use image captioning models, which can be used to improve the performance of computer systems. This course can help Computer Scientists to build a foundation in image captioning, which can be used in a variety of applications, such as computer vision, natural language processing, and machine learning.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course is relevant to Software Engineers because it teaches how to create and use image captioning models, which can be used to improve the user experience of software applications. This course can help Software Engineers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. This course is relevant to Web Developers because it teaches how to create and use image captioning models, which can be used to improve the accessibility of websites. This course can help Web Developers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
Product Manager
Product Manager
Product Managers manage the development and launch of products. This course is relevant to Product Managers because it teaches how to create and use image captioning models, which can be used to improve the user experience of products. This course can help Product Managers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
UX Designer
UX Designer
UX Designers design the user experience of products and services. This course is relevant to UX Designers because it teaches how to create and use image captioning models, which can be used to improve the user experience of products and services. This course can help UX Designers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. This course is relevant to Data Analysts because it teaches how to create and use image captioning models, which can be used to extract insights from images. This course can help Data Analysts to build a foundation in image captioning, which can be used in a variety of applications, such as customer segmentation, product recommendation, and fraud detection.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. This course is relevant to Software Developers because it teaches how to create and use image captioning models, which can be used to improve the user experience of software applications. This course can help Software Developers to build a foundation in image captioning, which can be used in a variety of applications, such as image search, image editing, and social media.
For more career information including salaries, visit:
OpenCourser.com/course/92cyfl/create
Reading list
We've selected 12 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 - Português Brasileiro.
Classic in the field of machine learning. It provides a comprehensive overview of the different types of machine learning models, their assumptions, and how to use them for a variety of tasks.
Comprehensive introduction to the field of pattern recognition and machine learning. It covers the different types of machine learning models, their assumptions, and how to use them for a variety of tasks, including image captioning.
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Comprehensive guide to the field of deep learning. It covers the different types of deep learning models, their architecture, and how to use them for a variety of tasks, including image captioning.
Provides a comprehensive introduction to the field of statistical learning. It covers the different types of statistical learning models, their assumptions, and how to use them for a variety of tasks, including image captioning.
Provides a hands-on introduction to the use of machine learning in Python. It covers the different types of machine learning models, how to use them for a variety of tasks, and how to evaluate their performance.
Provides a comprehensive introduction to the use of Python for data analysis. It covers the different types of data analysis tasks, how to use Python for each task, and how to visualize and interpret the results.
Provides a hands-on introduction to the field of data science. It covers the different steps involved in a data science project, from data collection to model building and evaluation.
Provides a hands-on introduction to the use of deep learning for computer vision. It covers the different types of deep learning models, their architecture, and how to use them for a variety of tasks, including image captioning.
Provides a comprehensive introduction to the use of OpenCV for computer vision. It covers the different OpenCV functions and how to use them for a variety of tasks, including image captioning.
Comprehensive guide to the use of captions in graphic novels. It covers the history of captions, their different types, and how to use them effectively to enhance the storytelling and meaning of your graphic novel.
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Provides a comprehensive introduction to the field of computer vision. It covers the different algorithms and techniques used for image processing, object recognition, and scene understanding.
Este livro ensina os conceitos fundamentais do aprendizado de máquina e como aplicá-los a problemas do mundo real usando bibliotecas Python como TensorFlow 2 e Keras.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/92cyfl/create
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Português
Good to know
Ensina competências técnicas relevantes para profissionais da área de Ciência de Dados
Explora um tópico altamente relevante para a indústria de aprendizado de máquina
Fornece uma base sólida para iniciantes no aprendizado de máquina
Oferece uma abordagem prática ao aprendizado com laboratórios e materiais interativos
Instrutores reconhecidos pela expertise em aprendizado de máquina
Reputação da instituição Google Cloud Training
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