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En este curso, se presentan la arquitectura de transformadores y el modelo de Bidirectional Encoder Representations from Transformers (BERT). Aprenderás sobre los componentes principales de la arquitectura de transformadores, como el mecanismo de autoatención, y cómo se usa para crear el modelo BERT. También aprenderás sobre las diferentes tareas para las que puede usarse BERT, como la clasificación de texto, la respuesta de preguntas y la inferencia de lenguaje natural. Tardarás aproximadamente 45 minutos en completar este curso.
Register for this course and see more details by visiting:
OpenCourser.com/course/rss668/transformer
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What's inside
Syllabus
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Especialmente relevante para los estudiantes interesados en el procesamiento del lenguaje natural
Ofrece una descripción general de la arquitectura y el modelo de transformadores BERT
Impartido por Google Cloud Training, una empresa reconocida por su experiencia en inteligencia artificial
Abarca diversas tareas de procesamiento del lenguaje natural, como clasificación de texto, respuesta a preguntas e inferencia de lenguaje natural
El curso es relativamente breve, con una duración aproximada de 45 minutos
No hay información disponible sobre los requisitos previos específicos del curso
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Reviews summary
Introducción concisa a transformers y bert
Según los estudiantes, este curso es una excelente introducción y un punto de partida ideal para comprender los modelos Transformer y BERT. Su contenido es claro y conciso, haciendo que conceptos complejos como el mecanismo de autoatención sean fácilmente accesibles, especialmente para principiantes. Sin embargo, debido a su corta duración (aproximadamente 45 minutos), los alumnos señalan que ofrece una visión general y carece de profundidad técnica. Es perfecto para quienes buscan una base sólida rápida o un refresco de conocimientos, pero no es suficiente por sí solo para un entendimiento avanzado o aplicaciones prácticas detalladas.
Sirve como una excelente base inicial o repaso rápido.
"Es un buen punto de partida si quieres una visión general rápida antes de sumergirte en material más complejo."
"Como ingeniero de software que recién incursiona en NLP, este curso me abrió los ojos a la importancia de los Transformers. Es un resumen fantástico..."
"La duración es ideal para una persona ocupada que necesita una base sólida sin invertir mucho tiempo."
Ofrece una base sólida y fácil de entender.
"Este curso es una excelente introducción al mundo de los modelos Transformer y BERT. Los conceptos se explican de manera muy clara y concisa..."
"Absolutamente brillante para un primer contacto. Explica el mecanismo de autoatención y las aplicaciones de BERT de forma muy accesible."
"Un curso excelente para obtener una comprensión rápida de los Transformers y BERT. Las explicaciones son sencillas pero efectivas."
El contenido es superficial para temas complejos.
"Para alguien con conocimientos previos de ML, puede resultar demasiado básico y superficial. Prácticamente no hay detalles técnicos profundos..."
"Mi única queja es que es demasiado breve; uno se queda con ganas de aprender más sobre cómo aplicar esto en proyectos reales."
"Esperaba algo más de profundidad, incluso para una introducción. Siento que para realmente entender, uno debe buscar más material por su cuenta."
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 Transformer Models and BERT Model - Español with these
activities:
Navega por el curso y aprende sobre la arquitectura de transformadores
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Familiarízate con la estructura y los conceptos del curso para sentar una base sólida para tu aprendizaje.
Browse courses on
BERT
Show steps
-
Lee la descripción general del curso y los objetivos de aprendizaje.
-
Explora los módulos y lecciones.
-
Identifica los recursos y materiales adicionales.
Show all one activities
Navega por el curso y aprende sobre la arquitectura de transformadores
Show steps
Familiarízate con la estructura y los conceptos del curso para sentar una base sólida para tu aprendizaje.
Browse courses on
BERT
Show steps
Show steps
Show steps
- Lee la descripción general del curso y los objetivos de aprendizaje.
- Explora los módulos y lecciones.
- Identifica los recursos y materiales adicionales.
Show all one activities
Career center
Learners who complete Transformer Models and BERT Model - Español will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural language processing engineers design, develop, and maintain systems that can understand and generate human language. These systems can be used for a variety of applications, such as machine translation, text summarization, and chatbot development. This course may be useful for you if you want to learn more about transformer models, which are used in a variety of NLP applications.
Research Scientist
Research Scientist
Research scientists conduct research in a variety of fields, including computer science, biology, and physics. They can work in academia, industry, or government. This course may be useful for you if you want to learn more about transformer models, which are used in a variety of research applications.
Data Analyst
Data Analyst
Data analysts collect, clean, and analyze data to help businesses make better decisions. They can work in a variety of industries, such as finance, healthcare, and retail. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data.
Business Analyst
Business Analyst
Business analysts help businesses improve their performance by identifying and solving problems. They can work in a variety of industries, such as finance, healthcare, and manufacturing. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Software Engineer
Software Engineer
Software engineers design, develop, and maintain software systems. They can work on a variety of projects, from small personal projects to large enterprise systems. This course may be useful for you if you want to learn more about transformer models, which are used in a variety of software applications, particularly in NLP.
Customer Success Manager
Customer Success Manager
Customer success managers are responsible for ensuring that customers are satisfied with their products or services. They work closely with sales teams, product teams, and customers to resolve issues and ensure that customers are getting the most value out of their products or services. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Sales Manager
Sales Manager
Sales managers are responsible for leading and motivating sales teams. They work closely with product managers, marketing teams, and customers to ensure that sales goals are met. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Machine Learning Engineer
Machine Learning Engineer
Machine learning engineers design, develop, deploy, and maintain machine learning systems. These systems can help automate tasks, improve efficiency, and make better decisions. This course may be useful for you if you want to build a foundation in transformer models, which are used in a variety of machine learning applications.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, such as strategy, operations, and finance. They can work in a variety of industries, such as management consulting, technology consulting, and financial consulting. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Product Manager
Product Manager
Product managers are responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to ensure that products meet the needs of customers. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Marketing Manager
Marketing Manager
Marketing managers are responsible for developing and executing marketing campaigns. They work closely with product managers, sales teams, and customers to ensure that campaigns are effective. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Data Scientist
Data Scientist
Data scientists use different techniques and algorithms to analyze data. They can help improve decision-making, manage complex data, and accelerate growth. This course may help you get started in your journey toward this career by introducing you to the popular BERT model and its applications in NLP.
Operations Manager
Operations Manager
Operations managers are responsible for the day-to-day operations of a business. They work closely with employees, customers, and suppliers to ensure that operations are running smoothly. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Financial Analyst
Financial Analyst
Financial analysts provide advice and guidance to businesses on a variety of financial matters, such as investments, mergers, and acquisitions. They can work in a variety of industries, such as banking, investment management, and corporate finance. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
Accountant
Accountant
Accountants prepare and maintain financial records for businesses. They can work in a variety of industries, such as accounting, auditing, and tax preparation. This course may be useful for you if you want to learn more about transformer models, which can be used to analyze text data and identify trends.
For more career information including salaries, visit:
OpenCourser.com/course/rss668/transformer
Reading list
We've selected six 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
Transformer Models and BERT Model - Español.
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Este libro es un texto clásico sobre aprendizaje profundo, que cubre los fundamentos teóricos y prácticos del campo. Es una referencia invaluable para investigadores y profesionales que trabajan en aprendizaje profundo.
Provides a comprehensive overview of deep learning for natural language processing. It valuable resource for anyone interested in learning more about deep learning and how to use it to solve real-world problems.
Este libro proporciona una introducción práctica al aprendizaje automático con Python. Cubre los conceptos básicos del aprendizaje automático, así como técnicas avanzadas.
Este libro proporciona una introducción práctica al aprendizaje profundo, con un enfoque en la programación en Python. Cubre los fundamentos del aprendizaje profundo, así como técnicas avanzadas.
Provides a comprehensive overview of statistical learning. It valuable resource for anyone interested in learning more about statistical learning and how to use it to solve real-world problems.
Provides a comprehensive overview of pattern recognition and machine learning. It valuable resource for anyone interested in learning more about pattern recognition and machine learning and how to use them to solve real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rss668/transformer
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Effort
1 week of study, 6-8 hours
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Español
Transcript
English
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