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Transformer Models and BERT Model - Español
Google Cloud Training
Google Cloud Training
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
What's inside
Syllabus
Modelos de transformadores y modelo BERT: Descripción general
En este módulo, 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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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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Activities
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Transformer Models and BERT Model - Español.
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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.
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.
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.
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.
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.
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.
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.
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.
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.
Save
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
Good to know
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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