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Encoder-Decoder Architecture - 繁體中文

Google Cloud Training

本課程概要說明解碼器與編碼器的架構，這種強大且常見的機器學習架構適用於序列對序列的任務，例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件，並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中，您將學習如何從頭開始使用 TensorFlow 寫程式，導入簡單的編碼器與解碼器架構來產生詩詞。

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What's inside

Syllabus

解碼器與編碼器的架構：總覽

本單元概要說明解碼器與編碼器的架構，這種強大且常見的機器學習架構適用於序列對序列的任務，例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件，並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中，您將學習如何從頭開始使用 TensorFlow 寫程式，導入簡單的編碼器與解碼器架構來產生詩詞。

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills for text translation, summarization, and question answering, which are core skills for data scientists

Explores a highly relevant topic in the field of Natural Language Processing

Taught by Google Cloud Training, who are recognized for their industry-leading expertise

Uses Tensorflow, a popular and widely-used framework in the industry

Requires some programming knowledge and experience with Tensorflow

May not be suitable for complete beginners in machine learning

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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 Encoder-Decoder Architecture - 繁體中文 with these activities:

使用 TensorFlow 构建简单的解碼器与編碼器模型

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通过实践练习，巩固对解碼器与編碼器架构的理解，并学习如何使用 TensorFlow 构建这些模型。

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寻找有关使用 TensorFlow 构建解碼器与編碼器模型的教程。
逐步完成教程，并尝试不同的超参数。
修改模型以生成自己的文本或序列。

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Career center

Learners who complete Encoder-Decoder Architecture - 繁體中文 will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for designing and building the machine learning models that power many of today's most innovative products and services. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use machine learning and other statistical techniques to extract insights from data. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, build, and maintain software applications. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field, especially those interested in working on machine learning projects.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Quantitative Analyst

Natural Language Processing Engineer

Natural Language Processing Engineers design and build systems that can understand and generate human language. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Natural Language Processing Engineer

Research Scientist

Research Scientists conduct research in a variety of fields, including machine learning, artificial intelligence, and natural language processing. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Research Scientist

Artificial Intelligence Engineer

Artificial Intelligence Engineers design and build systems that can perform tasks that typically require human intelligence. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Analyst

Data Analysts use data to solve business problems. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge will be essential for anyone looking to enter or advance in this field, especially those interested in working on machine learning projects.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data and analytical techniques to improve business processes. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in working on data-driven projects.

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Product Manager

Product Managers are responsible for managing the development and launch of new products. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in working on machine learning-powered products.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop marketing strategies. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in using machine learning to improve marketing campaigns.

See salaries and explore the career path for Marketing Analyst

Salesforce Administrator

Salesforce Administrators manage and maintain Salesforce systems. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in using machine learning to improve Salesforce implementations.

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IT Project Manager

IT Project Managers plan and execute IT projects. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in managing machine learning projects.

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Cybersecurity Analyst

Cybersecurity Analysts protect computer systems and networks from cyberattacks. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in using machine learning to improve cybersecurity.

See salaries and explore the career path for Cybersecurity Analyst

Financial Analyst

Financial Analysts provide financial advice to individuals and businesses. This course provides a solid foundation in the fundamentals of machine learning, including the theory behind encoder-decoder architectures. This knowledge may be helpful for anyone looking to enter or advance in this field, especially those interested in using machine learning to improve financial modeling.

See salaries and explore the career path for Financial Analyst

Reading list

We've selected 14 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 Encoder-Decoder Architecture - 繁體中文.

深入浅出神经网络与深度学习