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Desarrollando modelos con Azure Custom Vision
Nestor Nicolas Campos Rojas
Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a desarrollar modelos de aprendizaje supervisado con uno de los servicios cognitivos de Azure (Custom Vision) para analizar imágenes y detectar objetivos sobre ellas de forma fácil, aprovechando las ventajas y potencia de la nube.
Register for this course and see more details by visiting:
OpenCourser.com/course/4pgp68/desarrollando
What's inside
Syllabus
Desarrollando modelos con Azure Custom Vision
Al final de este proyecto, tú entenderás y aplicarás un modelo de visión computacional usando el servicio cognitivo de Azure, Custom Vision.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides strong foundation for beginners
Utilizes hands-on labs and activities
Develops professional skills in image recognition
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Activities
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Desarrollando modelos con Azure Custom Vision.
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Career center
Learners who complete Desarrollando modelos con Azure Custom Vision will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
For Computer Vision Engineers, this course offers an opportunity to deepen their understanding of Custom Vision and its applications in real-world scenarios. By learning how to build and deploy models using this platform, they can enhance their expertise in computer vision and contribute to innovative solutions.
Data Scientist
Data Scientist
A Data Scientist plays a pivotal role in the development of Custom Vision models by applying machine learning techniques to analyze and interpret large datasets of images. This course provides a hands-on introduction to Custom Vision, empowering Data Scientists to leverage its capabilities for image recognition and object detection tasks.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing and implementing machine learning models, including those for computer vision tasks. This course provides a practical understanding of how to use Custom Vision to develop and deploy accurate image classification models, a valuable skill for Machine Learning Engineers.
Data Analyst
Data Analyst
Data Analysts can leverage Custom Vision to extract insights from visual data, such as images and videos. This course provides a foundation in using Custom Vision to analyze and interpret image data, enabling Data Analysts to uncover valuable patterns and trends for decision-making.
Software Engineer
Software Engineer
Software Engineers specializing in computer vision can benefit from this course by gaining hands-on experience with Custom Vision. This platform enables them to integrate image recognition and object detection capabilities into their software applications, enhancing user experiences and automating visual tasks.
Product Manager
Product Manager
Product Managers responsible for developing vision-based products can benefit from this course by gaining a practical understanding of Custom Vision. This knowledge empowers them to make informed decisions about incorporating image recognition and object detection features into their products, enhancing user experience and driving innovation.
UX Designer
UX Designer
UX Designers seeking to incorporate image-based interactions into their designs can find this course helpful. By understanding how to use Custom Vision, UX Designers can create intuitive and visually engaging user experiences that leverage the power of computer vision.
Business Analyst
Business Analyst
Business Analysts involved in projects requiring computer vision capabilities can benefit from this course. By gaining familiarity with Custom Vision, Business Analysts can contribute to requirements gathering, solution design, and stakeholder communication, ensuring successful implementation of vision-based solutions.
Project Manager
Project Manager
Project Managers leading teams working with Custom Vision can benefit from this course by gaining a comprehensive understanding of the platform and its capabilities. This knowledge enables them to effectively plan, execute, and monitor projects involving computer vision, ensuring successful outcomes.
Technical Writer
Technical Writer
Technical Writers specializing in computer vision topics can enhance their expertise through this course. By gaining practical experience with Custom Vision, Technical Writers can create clear and accurate documentation, tutorials, and other materials that empower developers and users to leverage this platform effectively.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts involved in testing vision-based systems can benefit from this course by gaining hands-on experience with Custom Vision. This knowledge enables them to design and execute comprehensive test plans, ensuring the reliability and accuracy of computer vision applications.
Sales Engineer
Sales Engineer
Sales Engineers specializing in computer vision solutions can strengthen their technical knowledge and sales pitch by taking this course. By gaining practical experience with Custom Vision, they can effectively demonstrate its capabilities and value to potential customers, driving sales and building strong customer relationships.
Marketing Manager
Marketing Manager
Marketing Managers responsible for promoting products or services that incorporate computer vision can enhance their understanding of the technology through this course. By gaining familiarity with Custom Vision, Marketing Managers can develop targeted campaigns that effectively highlight the benefits and applications of vision-based solutions.
Consultant
Consultant
Consultants specializing in digital transformation or technology adoption can expand their knowledge base by taking this course. By gaining expertise in Custom Vision, Consultants can provide valuable advice and guidance to clients seeking to incorporate computer vision into their business operations.
Educator
Educator
Educators teaching computer science or related fields can find this course useful for enhancing their curriculum. By incorporating Custom Vision into their lessons, Educators can provide students with hands-on experience in a practical and engaging way, fostering their interest in computer vision and preparing them for careers in the field.
For more career information including salaries, visit:
OpenCourser.com/course/4pgp68/desarrollando
Reading list
We've selected 11 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
Desarrollando modelos con Azure Custom Vision.
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Este libro ofrece una introducción integral al aprendizaje profundo, que es la base de muchos modelos de visión computacional, incluido Custom Vision. Proporciona una comprensión profunda de los conceptos y técnicas subyacentes.
Este libro ofrece una guía completa y práctica para el aprendizaje profundo utilizando Python. Es una referencia valiosa para comprender los conceptos y técnicas subyacentes utilizados en Custom Vision.
Save
Este libro introduce las redes generativas adversarias (GAN), que son técnicas avanzadas de aprendizaje automático utilizadas en la generación y manipulación de imágenes. Es valioso para aquellos interesados en explorar aplicaciones avanzadas de Custom Vision.
Explora técnicas avanzadas de aprendizaje profundo para la visión por computadora, ampliando los conceptos de modelos de aprendizaje supervisado introducidos en el curso.
Explora técnicas avanzadas de aprendizaje profundo para sistemas de visión, proporcionando una comprensión más profunda de los modelos complejos.
Este libro introduce la visión computacional usando Python. Cubre técnicas prácticas y algoritmos para tareas de visión por computadora, como la detección y clasificación de objetos.
Save
Proporciona una base sólida en los fundamentos de la visión por computadora, incluidos algoritmos y aplicaciones, que complementa los conceptos cubiertos en el curso.
Este libro proporciona una guía práctica para el aprendizaje automático utilizando Python. Cubre técnicas esenciales y algoritmos de aprendizaje automático que son relevantes para el desarrollo de modelos con Custom Vision.
Este libro es un texto clásico sobre aprendizaje estadístico y proporciona una base sólida para comprender los conceptos estadísticos utilizados en el desarrollo de modelos con Custom Vision.
Este libro introduce Python y sus bibliotecas para el análisis de datos. El conocimiento de Python es crucial para trabajar con Custom Vision, ya que es el lenguaje de programación principal.
Este libro se centra en el aprendizaje por refuerzo, una subárea del aprendizaje automático que es relevante para algunas aplicaciones de Custom Vision. Proporciona una introducción a los conceptos y algoritmos subyacentes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4pgp68/desarrollando
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Effort
1 hora
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Provides strong foundation for beginners
Utilizes hands-on labs and activities
Develops professional skills in image recognition
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