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Transformer Models and BERT Model - 日本語版
Google Cloud Training
Google Cloud Training
このコースでは、Transformer アーキテクチャと Bidirectional Encoder Representations from Transformers（BERT）モデルの概要について説明します。セルフアテンション機構をはじめとする Transformer アーキテクチャの主要コンポーネントと、それが BERT モデルの構築にどのように使用されているのかについて学習します。さらに、テキスト分類、質問応答、自然言語推論など、BERT を適用可能なその他のタスクについても学習します。このコースの推定所要時間は約 45 分です。
Register for this course and see more details by visiting:
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What's inside
Syllabus
Transformer モデルと BERT モデル: 概要
このモジュールでは、セルフアテンション機構をはじめとする Transformer アーキテクチャの主要コンポーネントと、それが BERT モデルの構築にどのように使用されているのかについて学習します。さらに、テキスト分類、質問応答、自然言語推論など、BERT を適用可能なその他のタスクについても学習します。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strictly teaches Transformer architecture and BERT models
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Career center
Learners who complete Transformer Models and BERT Model - 日本語版 will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Scientist
Natural Language Processing Scientist
Natural Language Processing Scientists use machine learning and statistical methods to develop models that can understand and generate human language. The Transformer Models and BERT Model - 日本語版 course provides a valuable overview of the Transformer architecture and BERT model, which are fundamental concepts in natural language processing. By understanding these concepts, Natural Language Processing Scientists can develop more effective models for a variety of tasks, such as machine translation, text summarization, and question answering.
Data Scientist
Data Scientist
Data Scientists use their knowledge of machine learning and statistical methods to help businesses make better decisions. The Transformer Models and BERT Model - 日本語版 course provides a valuable overview of the Transformer architecture and BERT model, which are fundamental concepts in natural language processing and machine learning. By understanding these concepts, Data Scientists can develop more effective models for a variety of tasks, such as text classification, question answering, and natural language inference.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. The Transformer Models and BERT Model - 日本語版 course can provide Machine Learning Engineers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Machine Learning Engineers develop more effective models for a variety of applications, such as natural language processing and computer vision.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The Transformer Models and BERT Model - 日本語版 course can provide Software Engineers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Software Engineers develop more effective software systems for a variety of applications, such as natural language processing and machine learning.
Computer Scientist
Computer Scientist
Computer Scientists design and develop computer systems and applications. The Transformer Models and BERT Model - 日本語版 course can provide Computer Scientists with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Computer Scientists develop more effective systems and applications for a variety of tasks, such as natural language processing and machine learning.
Linguist
Linguist
Linguists study language and its structure. The Transformer Models and BERT Model - 日本語版 course can provide Linguists with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Linguists develop more effective models for a variety of tasks, such as machine translation and natural language processing.
Data Analyst
Data Analyst
Data Analysts use data to help businesses make better decisions. The Transformer Models and BERT Model - 日本語版 course may provide Data Analysts with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Data Analysts develop more effective models for a variety of tasks, such as text classification and natural language inference.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. The Transformer Models and BERT Model - 日本語版 course may provide Quantitative Analysts with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Quantitative Analysts develop more effective models for a variety of tasks, such as risk assessment and trading.
Cognitive Scientist
Cognitive Scientist
Cognitive Scientists study the human mind and its functions. The Transformer Models and BERT Model - 日本語版 course may provide Cognitive Scientists with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Cognitive Scientists develop more effective models for a variety of tasks, such as natural language processing and artificial intelligence.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. The Transformer Models and BERT Model - 日本語版 course may provide Business Intelligence Analysts with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Business Intelligence Analysts develop more effective models for a variety of tasks, such as market research and customer segmentation.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. The Transformer Models and BERT Model - 日本語版 course may provide Robotics Engineers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Robotics Engineers develop more effective robots that can understand and interact with humans using natural language.
Product Manager
Product Manager
Product Managers develop and manage products. The Transformer Models and BERT Model - 日本語版 course may provide Product Managers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Product Managers develop more effective products that incorporate natural language processing and machine learning.
Information Scientist
Information Scientist
Information Scientists gather, organize, and disseminate information. The Transformer Models and BERT Model - 日本語版 course may provide Information Scientists with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Information Scientists develop more effective methods for gathering, organizing, and disseminating information.
User Experience Designer
User Experience Designer
User Experience Designers design user interfaces and experiences. The Transformer Models and BERT Model - 日本語版 course may provide User Experience Designers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help User Experience Designers develop more effective user interfaces and experiences for applications that incorporate natural language processing and machine learning.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. The Transformer Models and BERT Model - 日本語版 course may provide Technical Writers with a deeper understanding of the Transformer architecture and BERT model. This understanding can help Technical Writers create more effective documentation for products that incorporate natural language processing and machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/1g2swu/transformer
Reading list
We've selected two 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 - 日本語版.
自然言語処理における深層学習の包括的なガイドです。Transformer モデルと BERT モデルを含む、さまざまな深層学習モデルについて詳しく説明しています。
自然言語処理の практические применимостяхについてのガイドで、業界における実際のユースケースが多数紹介されています。Transformer モデルや BERT モデルの使用方法についても触れています。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1g2swu/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
日本語
Transcript
English
Good to know
Strictly teaches Transformer architecture and BERT models
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