We may earn an affiliate commission when you visit our partners.
Attention Mechanism - 繁體中文
Google Cloud Training
Google Cloud Training
本課程將介紹注意力機制，說明這項強大技術如何讓類神經網路專注於輸入序列的特定部分。此外，也將解釋注意力的運作方式，以及如何使用注意力來提高各種機器學習任務的成效，包括機器翻譯、文字摘要和回答問題。
Register for this course and see more details by visiting:
OpenCourser.com/course/6cqm9d/attention
What's inside
Syllabus
注意力機制簡介
在本單元中，您可以瞭解注意力的運作方式，以及如何使用注意力提高各種機器學習任務的成效，包括機器翻譯、文字摘要和回答問題。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
探討業界標準注意力機制
由 Google Cloud Training 授課，業界認證
涵蓋文字摘要、回答問題等實用應用
入門單元詳盡解說注意力運作原理
Save this course
Save Attention Mechanism - 繁體中文 to your list so you can find it easily later:
Save
Save
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 Attention Mechanism - 繁體中文 with these
activities:
練習構建注意力網路模型
Show steps
親自動手構建注意力網路模型可以幫助您深入了解注意力機制的運作方式，並培養您的實作技能。
Show steps
-
選擇一個開源機器學習框架，例如 TensorFlow 或 PyTorch。
-
實作一個注意力層，並將其整合到神經網路模型中。
-
訓練模型並使用注意力機制改善模型效能。
建立一個關於注意力機制的部落格文章或簡報
Show steps
透過建立部落格文章或簡報，您可以加強您對注意力機制的理解，並與他人分享您的知識。
Show steps
-
選擇注意力機制的一個特定主題。
-
研究您的主題並收集相關資訊。
-
撰寫部落格文章或製作簡報，清楚地解釋所選主題。
-
分享您的部落格文章或簡報，並尋求回饋。
使用注意力機制解決特定問題
Show steps
透過解決實際問題，您可以應用您對注意力機制的理解，並加強您的問題解決能力。
Show steps
-
選擇一個領域或問題，其中注意力機制可以發揮作用。
-
設計和實作一個使用注意力機制的解決方案。
-
評估您的解決方案的效能，並根據需要進行調整。
One other activity
Expand to see all activities and additional details
Show all four activities
參與注意力機制相關工作坊或會議
Show steps
參與工作坊或會議可以讓您與其他對注意力機制感興趣的人建立聯繫，並學習他們的觀點和經驗。
Show steps
-
尋找注意力機制相關的工作坊或會議。
-
註冊並參加活動。
-
積極參與討論和與其他參與者建立聯繫。
練習構建注意力網路模型
Show steps
親自動手構建注意力網路模型可以幫助您深入了解注意力機制的運作方式，並培養您的實作技能。
Show steps
Show steps
Show steps
- 選擇一個開源機器學習框架，例如 TensorFlow 或 PyTorch。
- 實作一個注意力層，並將其整合到神經網路模型中。
- 訓練模型並使用注意力機制改善模型效能。
建立一個關於注意力機制的部落格文章或簡報
Show steps
透過建立部落格文章或簡報，您可以加強您對注意力機制的理解，並與他人分享您的知識。
Show steps
Show steps
Show steps
- 選擇注意力機制的一個特定主題。
- 研究您的主題並收集相關資訊。
- 撰寫部落格文章或製作簡報，清楚地解釋所選主題。
- 分享您的部落格文章或簡報，並尋求回饋。
使用注意力機制解決特定問題
Show steps
透過解決實際問題，您可以應用您對注意力機制的理解，並加強您的問題解決能力。
Show steps
Show steps
Show steps
- 選擇一個領域或問題，其中注意力機制可以發揮作用。
- 設計和實作一個使用注意力機制的解決方案。
- 評估您的解決方案的效能，並根據需要進行調整。
One other activity
Expand to see all activities and additional details
Show all four activities
參與注意力機制相關工作坊或會議
Show steps
參與工作坊或會議可以讓您與其他對注意力機制感興趣的人建立聯繫，並學習他們的觀點和經驗。
Show steps
Show steps
Show steps
- 尋找注意力機制相關的工作坊或會議。
- 註冊並參加活動。
- 積極參與討論和與其他參與者建立聯繫。
Career center
Learners who complete Attention Mechanism - 繁體中文 will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to analyze data and extract insights. They use these insights to help businesses make better decisions. Attention mechanisms are a powerful tool for data scientists, and they can be used to improve the accuracy and efficiency of data analysis tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own data analysis tasks.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use their knowledge of mathematics, statistics, and computer science to build models that can learn from data and make predictions. Attention mechanisms are a powerful tool for machine learning models, and they can be used to improve the accuracy and efficiency of models on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own machine learning models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of computer science to build software that is efficient, reliable, and user-friendly. Attention mechanisms are a powerful tool for software engineers, and they can be used to improve the performance of software applications on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own software applications.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design, develop, and maintain computer vision systems. They use their knowledge of mathematics, statistics, and computer science to build systems that can interpret and generate images. Attention mechanisms are a powerful tool for computer vision engineers, and they can be used to improve the accuracy and efficiency of computer vision tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own computer vision systems.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing (NLP) Engineers design, develop, and maintain NLP systems. They use their knowledge of linguistics and computer science to build systems that can understand and generate human language. Attention mechanisms are a powerful tool for NLP engineers, and they can be used to improve the accuracy and efficiency of NLP tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own NLP systems.
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including machine learning, data science, software engineering, NLP, and computer vision. They use their knowledge of mathematics, statistics, and computer science to develop new algorithms and technologies. Attention mechanisms are a powerful tool for research scientists, and they can be used to improve the accuracy and efficiency of research tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own research projects.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. They work with product managers, sales teams, and customers to increase brand awareness and generate leads. Attention mechanisms are a powerful tool for marketing managers, and they can be used to improve the effectiveness of marketing campaigns on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own marketing campaigns.
Sales Manager
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. They work with sales teams and customers to increase sales and revenue. Attention mechanisms are a powerful tool for sales managers, and they can be used to improve the effectiveness of sales strategies on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own sales strategies.
Business Analyst
Business Analyst
Business Analysts are responsible for the analysis of business processes and systems. They work with stakeholders to identify and solve business problems. Attention mechanisms are a powerful tool for business analysts, and they can be used to improve the accuracy and efficiency of business analysis tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own business analysis tasks.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. Attention mechanisms are a powerful tool for product managers, and they can be used to improve the user experience of products on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own products.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including machine learning, data science, software engineering, NLP, computer vision, and business analysis. Attention mechanisms are a powerful tool for consultants, and they can be used to improve the accuracy and efficiency of consulting tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own consulting tasks.
UX Designer
UX Designer
UX Designers are responsible for the design of user interfaces for websites, apps, and other digital products. They work with engineers and product managers to create user interfaces that are user-friendly and efficient. Attention mechanisms are a powerful tool for UX designers, and they can be used to improve the user experience of digital products on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own UX designs.
Technical Writer
Technical Writer
Technical Writers are responsible for the creation and maintenance of technical documentation. They work with engineers, scientists, and other technical professionals to create documentation that is clear, concise, and accurate. Attention mechanisms are a powerful tool for technical writers, and they can be used to improve the readability and comprehension of technical documentation on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own technical documentation.
Project Manager
Project Manager
Project Managers are responsible for the planning, execution, and delivery of projects. They work with stakeholders to define project goals, develop project plans, and track project progress. Attention mechanisms are a powerful tool for project managers, and they can be used to improve the accuracy and efficiency of project management tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own project management tasks.
Data Analyst
Data Analyst
Data Analysts are responsible for the collection, analysis, and interpretation of data. They work with stakeholders to identify and solve business problems. Attention mechanisms are a powerful tool for data analysts, and they can be used to improve the accuracy and efficiency of data analysis tasks on a variety of tasks. This course will teach you the basics of attention mechanisms, and you will learn how to use them to improve the performance of your own data analysis tasks.
For more career information including salaries, visit:
OpenCourser.com/course/6cqm9d/attention
Reading list
We've selected five 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
Attention Mechanism - 繁體中文.
Save
這本書是深度學習的經典教科書，其中包含了注意力機制的全面章節。對於了解注意力機制的廣泛應用非常有幫助。
这本教科书全面介绍了神经机器翻译，其中包含注意力机制的內容，适合进阶学习。
這本書提供了神經網路設計的全面概述，包括注意力機制的詳細說明。非常適合理解注意力機制的理論基礎。
這本書提供了自然語言處理中神經網路模型的全面概述，包括注意力機制的詳細說明。對於理解注意力機制在 NLP 中的應用非常有幫助。
這本書提供了使用 Fastai 和 PyTorch 進行深度學習的實用指南，包括注意力機制的簡要介紹。對於了解注意力機制的實際應用非常有幫助。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6cqm9d/attention
Share
Similar courses
Here are nine courses similar to
Attention Mechanism - 繁體中文.
Transformer Models and BERT Model - 繁體中文
OpenCourser.com/course/vicf3m/transformer
Transformer Models and BERT Model - 繁體中文
Most relevant
Attention Mechanism - 简体中文
OpenCourser.com/course/2w8859/attention
Attention Mechanism - 简体中文
Most relevant
Encoder-Decoder Architecture - 繁體中文
OpenCourser.com/course/jyeifp/encoder
Encoder-Decoder Architecture - 繁體中文
Most relevant
Introduction to Image Generation - 繁體中文
OpenCourser.com/course/sk7syr/introduction
Introduction to Image Generation - 繁體中文
Most relevant
Responsible AI: Applying AI Principles with GC - 繁體中文
OpenCourser.com/course/dar3s8/responsible
Responsible AI: Applying AI Principles with GC - 繁體中文
Most relevant
Generative AI第一部 - 從LangChain接入ChatGPT到製作股票分析AI團隊
OpenCourser.com/course/js2ssc/generative
Generative AI第一部 - 從LangChain接入ChatGPT到製作股票分析AI團隊
Most relevant
Create Image Captioning Models - 简体中文
OpenCourser.com/course/lw2ual/create
Create Image Captioning Models - 简体中文
Most relevant
Create Image Captioning Models - 繁體中文
OpenCourser.com/course/3hdyza/create
Create Image Captioning Models - 繁體中文
Most relevant
進擊的 LangChain 學習路：打造 LLM 驅動應用程式的必備技能，一步步教你如何開發 AI 應用專案
OpenCourser.com/course/w8y70c/Jin
進擊的 LangChain 學習路：打造 LLM 驅動應用程式的必備技能，一步步教你如何開發 AI 應用專案
Most relevant
Effort
1 week of study, 6-8 hours
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
English
Good to know
探討業界標準注意力機制
由 Google Cloud Training 授課，業界認證
涵蓋文字摘要、回答問題等實用應用
入門單元詳盡解說注意力運作原理
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser