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このコースでは、機械翻訳、テキスト要約、質問応答などのシーケンス ツー シーケンス タスクに対応する、強力かつ広く使用されている ML アーキテクチャであるエンコーダ / デコーダ アーキテクチャの概要を説明します。エンコーダ / デコーダ アーキテクチャの主要なコンポーネントと、これらのモデルをトレーニングして提供する方法について学習します。対応するラボのチュートリアルでは、詩を生成するためのエンコーダ / デコーダ アーキテクチャの簡単な実装を、TensorFlow で最初からコーディングします。
Register for this course and see more details by visiting:
OpenCourser.com/course/3otk7a/encoder
What's inside
Syllabus
エンコーダ / デコーダ アーキテクチャ: 概要
このモジュールでは、機械翻訳、テキスト要約、質問応答などのシーケンス ツー シーケンス タスクに対応する、強力かつ広く使用されている ML アーキテクチャであるエンコーダ / デコーダ アーキテクチャの概要を説明します。エンコーダ / デコーダ アーキテクチャの主要なコンポーネントと、これらのモデルをトレーニングして提供する方法について学習します。対応するラボのチュートリアルでは、詩を生成するためのエンコーダ / デコーダ アーキテクチャの簡単な実装を、TensorFlow で最初からコーディングします。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers a fundamental ML architecture used widely in industry
Taught by Google Cloud Training, known for its expertise in machine learning
Develops skills in training and deploying encoder/decoder models, which are essential for sequence-to-sequence tasks
Provides hands-on experience with TensorFlow, a popular machine learning library
Suitable for learners with some background in machine learning who want to deepen their understanding of sequence-to-sequence models
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Activities
Be better prepared
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your course. Deepen your understanding
during
and
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it. Supplement your coursework and achieve mastery of the topics covered
in Encoder-Decoder Architecture - 日本語版 with these
activities:
Review Calculus
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Review key Calculus concepts to strengthen your mathematical foundation for this course.
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Calculus
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-
Review notes from previous calculus courses or textbooks.
-
Practice solving calculus problems involving derivatives and integrals.
-
Take practice quizzes or exams to assess your understanding.
-
Seek help from a tutor or online resources if needed.
TensorFlow Tutorial
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Enhance your understanding of TensorFlow by following guided tutorials on specific topics covered in this course.
Browse courses on
TensorFlow
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-
Identify the specific topics you want to reinforce.
-
Search for comprehensive tutorials or video courses on those topics.
-
Follow the tutorials and complete the exercises provided.
-
Experiment with the code and try different parameters to deepen your understanding.
Practice Encoder-Decoder Architecture Coding
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Strengthen your coding skills specific to encoder-decoder architectures by practicing coding exercises.
Browse courses on
Encoder-Decoder Architecture
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-
Find coding challenges or practice problems related to encoder-decoder architecture.
-
Implement the encoder and decoder components in TensorFlow.
-
Train and evaluate the model to improve its performance.
-
Tweak the model parameters or try different encoding and decoding techniques.
Two other activities
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Natural Language Processing Workshop
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Attend a workshop to gain practical experience with natural language processing techniques.
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Natural Language Processing
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-
Research and identify relevant workshops offered online or in your area.
-
Register for the workshop and attend all sessions.
-
Participate actively in hands-on exercises and discussions.
-
Network with other attendees and industry professionals.
Develop a Research Paper on Encoder-Decoder Architectures
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Enhance your understanding of encoder-decoder architectures by researching and writing a comprehensive paper on the topic.
Browse courses on
Encoder-Decoder Architecture
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-
Choose a specific aspect of encoder-decoder architectures to focus on.
-
Conduct thorough research using academic papers, books, and online resources.
-
Organize your findings into a logical structure and write a concise paper.
-
Proofread and revise your paper carefully.
Review Calculus
Show steps
Review key Calculus concepts to strengthen your mathematical foundation for this course.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Review notes from previous calculus courses or textbooks.
- Practice solving calculus problems involving derivatives and integrals.
- Take practice quizzes or exams to assess your understanding.
- Seek help from a tutor or online resources if needed.
TensorFlow Tutorial
Show steps
Enhance your understanding of TensorFlow by following guided tutorials on specific topics covered in this course.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Identify the specific topics you want to reinforce.
- Search for comprehensive tutorials or video courses on those topics.
- Follow the tutorials and complete the exercises provided.
- Experiment with the code and try different parameters to deepen your understanding.
Practice Encoder-Decoder Architecture Coding
Show steps
Strengthen your coding skills specific to encoder-decoder architectures by practicing coding exercises.
Browse courses on
Encoder-Decoder Architecture
Show steps
Show steps
Show steps
- Find coding challenges or practice problems related to encoder-decoder architecture.
- Implement the encoder and decoder components in TensorFlow.
- Train and evaluate the model to improve its performance.
- Tweak the model parameters or try different encoding and decoding techniques.
Two other activities
Expand to see all activities and additional details
Show all five activities
Natural Language Processing Workshop
Show steps
Attend a workshop to gain practical experience with natural language processing techniques.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Research and identify relevant workshops offered online or in your area.
- Register for the workshop and attend all sessions.
- Participate actively in hands-on exercises and discussions.
- Network with other attendees and industry professionals.
Develop a Research Paper on Encoder-Decoder Architectures
Show steps
Enhance your understanding of encoder-decoder architectures by researching and writing a comprehensive paper on the topic.
Browse courses on
Encoder-Decoder Architecture
Show steps
Show steps
Show steps
- Choose a specific aspect of encoder-decoder architectures to focus on.
- Conduct thorough research using academic papers, books, and online resources.
- Organize your findings into a logical structure and write a concise paper.
- Proofread and revise your paper carefully.
Career center
Learners who complete Encoder-Decoder Architecture - 日本語版 will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement systems that enable computers to understand and process human language. They create algorithms and models that can translate languages, answer questions, and even generate text. This course in encoder-decoder architecture provides a solid foundation in the fundamentals of natural language processing, which is essential for engineers working in this field.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and implement AI systems. They work on a wide range of applications, from self-driving cars to medical diagnosis systems. This course in encoder-decoder architecture provides a solid foundation in the fundamentals of artificial intelligence, which is essential for engineers working in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are a unique class of engineers who focus on applying Machine Learning concepts to solve real-world problems. They create and test the ML models that power self-driving cars, provide personalized recommendations, detect fraud and more. They also design systems that enable data scientists to create, deploy, and manage ML models. The curriculum of this course in encoder-decoder architecture can power a Machine Learning Engineer's ability to solve complex problems with intelligent software solutions.
Computational Linguist
Computational Linguist
Computational linguists combine linguistics and computer science to analyze, understand, and generate human language. They develop and apply computational models to study language structure, meaning, and use. This course in encoder-decoder architecture can enhance a computational linguist's understanding of machine learning techniques for natural language processing, which can be valuable for tasks such as machine translation, text summarization, and question answering.
Data Scientist
Data Scientist
Data scientists analyze and interpret complex data to extract meaningful insights for informed decision-making. Equipped with advanced analytical skills and knowledge of statistical modeling, data mining, and machine learning, data scientists are in high demand in many industries. This course in encoder-decoder architecture can help aspiring data scientists develop a foundation in model building and interpretation, enhancing their ability to extract meaningful insights from data.
Research Scientist
Research Scientist
Research scientists explore and develop new theories, models, and applications in various scientific fields. This course in encoder-decoder architecture can help research scientists gain a deeper understanding of machine learning and natural language processing. This can be particularly valuable for research scientists working in areas such as artificial intelligence, data mining, and information retrieval.
Software Engineer
Software Engineer
Software engineers craft and implement software programs for a wide range of uses. From developing operating systems, business applications to mobile apps, software engineers help shape our daily experiences with technology. With a strong foundation in engineering and technology, software engineers continuously improve their skills and learn new programming languages to keep up with the fast-paced software industry. Machine learning will only continue to be integrated at a deeper level in the software programs we use. This course on encoder-decoder architecture can help build a foundation that can support the unique demands of software engineering.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use their analytical skills to identify opportunities for improvement and develop solutions. This course in encoder-decoder architecture may be useful for business analysts who want to expand their knowledge of machine learning and natural language processing.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations and solve business problems. This course in encoder-decoder architecture may be useful for data analysts who want to expand their knowledge of machine learning and natural language processing.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and hardware products. They work closely with engineers and other technical staff to ensure that the documentation is accurate and easy to understand. This course in encoder-decoder architecture may be useful for technical writers who want to learn how to use machine learning and natural language processing to improve their writing.
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 products to market that meet the needs of customers. This course in encoder-decoder architecture may be useful for product managers who want to understand the technical side of product development.
Customer Success Manager
Customer Success Manager
Customer Success Managers work with customers to ensure that they are satisfied with their products and services. They provide support and training, and they identify opportunities to upsell and cross-sell. This course in encoder-decoder architecture may be useful for customer success managers who want to understand how to use machine learning and natural language processing to improve their customer relationships.
Marketing Manager
Marketing Manager
Marketing Managers develop and implement marketing campaigns to promote products and services. They use a variety of channels to reach their target audience, including social media, email, and paid advertising. This course in encoder-decoder architecture may be useful for marketing managers who want to understand how to use machine learning and natural language processing to improve their marketing campaigns.
User Experience Designer
User Experience Designer
User Experience Designers create and evaluate user interfaces for software and hardware products. They work with engineers and other designers to ensure that the user experience is positive and efficient. This course in encoder-decoder architecture may be useful for user experience designers who want to learn how to use machine learning and natural language processing to improve the user experience of their products.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales goals. They develop sales strategies and work with customers to close deals. This course in encoder-decoder architecture may be useful for sales managers who want to understand how to use machine learning and natural language processing to improve their sales performance.
For more career information including salaries, visit:
OpenCourser.com/course/3otk7a/encoder
Reading list
We've selected seven 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 - 日本語版.
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ディープラーニングの包括的な教科書で、エンコーダ/デコーダ・アーキテクチャの理論的理解を深めるのに役立ちます。
Save
この本は、ニューラル機械翻訳に関する包括的なリソースを提供します。このコースのトピックを補完し、特にニューラル機械翻訳の技術的側面に興味がある学習者に役立ちます。
この本は、パターン認識と機械学習に関する包括的なリソースを提供します。このコースのトピックを補完し、特に機械学習の理論的基盤を理解したい学習者に役立ちます。
この本は、Python による自然言語処理の入門書です。このコースのトピックを補完し、特に自然言語処理の基礎を理解したい学習者に役立ちます。
自然言語処理におけるニューラルネットワークの応用に関する教科書で、エンコーダ/デコーダ・アーキテクチャの理論的理解を深めるのに役立ちます。
この本は、自然言語処理の基本を初心者向けに説明しています。このコースのトピックを補完し、特に自然言語処理の初心者向けです。
この本は、Python によるディープラーニングの入門書です。このコースのトピックを補完し、特にPython を使用してエンコーダ / デコーダ アーキテクチャを実装したい学習者に役立ちます。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3otk7a/encoder
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
日本語
Transcript
English
Good to know
Covers a fundamental ML architecture used widely in industry
Taught by Google Cloud Training, known for its expertise in machine learning
Develops skills in training and deploying encoder/decoder models, which are essential for sequence-to-sequence tasks
Provides hands-on experience with TensorFlow, a popular machine learning library
Suitable for learners with some background in machine learning who want to deepen their understanding of sequence-to-sequence models
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