OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Encoder-Decoder Architecture - Deutsch

Google Cloud Training

Dieser Kurs vermittelt Ihnen eine Zusammenfassung der Encoder-Decoder-Architektur, einer leistungsstarken und gängigen Architektur, die bei Sequenz-zu-Sequenz-Tasks wie maschinellen Übersetzungen, Textzusammenfassungen und dem Question Answering eingesetzt wird. Sie lernen die Hauptkomponenten der Encoder-Decoder-Architektur kennen und erfahren, wie Sie diese Modelle trainieren und bereitstellen können. Im dazugehörigen Lab mit Schritt-für-Schritt-Anleitung können Sie in TensorFlow von Grund auf einen Code für eine einfache Implementierung einer Encoder-Decoder-Architektur erstellen, die zum Schreiben von Gedichten dient.

Enroll now

Three deals to help you save

We found three deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 12
Annual Subscription Savings
Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.
Only $239!
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off

What's inside

Syllabus

Encoder-Decoder-Architektur: Überblick
Dieses Modul vermittelt Ihnen eine Zusammenfassung der Encoder-Decoder-Architektur, einer leistungsstarken und gängigen Architektur, die bei Sequenz-zu-Sequenz-Tasks wie maschinellen Übersetzungen, Textzusammenfassungen und dem Question Answering eingesetzt wird. Sie lernen die Hauptkomponenten der Encoder-Decoder-Architektur kennen und erfahren, wie Sie diese Modelle trainieren und bereitstellen können. Im dazugehörigen Lab mit Schritt-für-Schritt-Anleitung können Sie in TensorFlow von Grund auf einen Code für eine einfache Implementierung einer Encoder-Decoder-Architektur erstellen, die zum Schreiben von Gedichten dient.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Google Cloud Training, industry leaders in the field
Suitable for beginners looking to build a foundation in Encoder-Decoder Architectures
Covers the core concepts of Encoder-Decoder Architectures, a powerful technique used in natural language processing tasks like machine translation and text summarization
Provides hands-on practice with a step-by-step lab to implement an Encoder-Decoder Architecture for poetry generation in TensorFlow

Save this course

Save Encoder-Decoder Architecture - Deutsch to your list so you can find it easily later:
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 Encoder-Decoder Architecture - Deutsch with these activities:
Review Encoder-Decoder Architectures
Refresh your knowledge of Encoder-Decoder Architectures to build a strong foundation for this course.
Browse courses on Encoder-Decoder Architecture
Show steps
  • Read the provided course materials on Encoder-Decoder Architectures.
  • Review online tutorials and articles on Encoder-Decoder Architectures.
  • Complete practice exercises to test your understanding of Encoder-Decoder Architectures.
Compile a Resource Collection on Encoder-Decoder Architectures
Create a comprehensive collection of resources, such as articles, tutorials, and datasets, on Encoder-Decoder Architectures for future reference.
Show steps
  • Conduct a thorough search for resources related to Encoder-Decoder Architectures.
  • Organize and categorize the resources in a logical manner.
  • Document the sources and provide proper citations.
  • Share the resource collection with others.
Participate in Peer Group Discussions
Engage in discussions with peers to exchange knowledge and perspectives on Encoder-Decoder Architectures.
Show steps
  • Join or create a study group with other learners in this course.
  • Regularly meet with the group to discuss course materials and concepts.
  • Share your understanding and insights with others.
  • Seek clarification and support from your peers.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Training Encoder-Decoder Models
Practice training Encoder-Decoder models in TensorFlow to enhance your practical skills.
Browse courses on TensorFlow
Show steps
  • Set up a TensorFlow environment.
  • Load and prepare the necessary data for training.
  • Build an Encoder-Decoder model using TensorFlow.
  • Train the Encoder-Decoder model.
  • Evaluate the performance of the trained model.
Mentor Junior Learners
Reinforce your understanding by mentoring junior learners and sharing your knowledge of Encoder-Decoder Architectures.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor junior learners, such as through online forums or study groups.
  • Provide guidance and support to learners who are struggling with Encoder-Decoder Architectures.
  • Share your insights and experiences to help learners develop a deeper understanding of the concepts.
Explore Advanced Techniques for Encoder-Decoder Architectures
Explore advanced techniques, such as attention mechanisms, to enhance your understanding of Encoder-Decoder Architectures.
Browse courses on Attention Mechanisms
Show steps
  • Identify advanced techniques for Encoder-Decoder Architectures.
  • Locate online tutorials and resources on these techniques.
  • Follow the tutorials and implement the techniques in your own projects.
Develop an Encoder-Decoder Model for a Specific Task
Create an Encoder-Decoder model for a specific task, such as machine translation or text summarization, to apply your knowledge.
Browse courses on Natural Language Processing
Show steps
  • Identify a specific task for which you want to develop an Encoder-Decoder model.
  • Collect and prepare the necessary data for training.
  • Design and implement an Encoder-Decoder model for the task.
  • Train and evaluate the performance of the model.
  • Deploy the model for use.
Participate in Kaggle Competitions
Challenge yourself by participating in Kaggle competitions involving Encoder-Decoder Architectures to enhance your practical skills.
Browse courses on Kaggle Competitions
Show steps
  • Identify Kaggle competitions that involve Encoder-Decoder Architectures.
  • Form a team or participate individually.
  • Develop and train Encoder-Decoder models for the competition tasks.
  • Submit your models and track your progress.
  • Analyze the results and learn from the experience.

Career center

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

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Encoder-Decoder Architecture - Deutsch.
Nachhaltigkeit lehren lernen
Most relevant
Excel-Kenntnisse für Unternehmen: Grundlagen
Most relevant
Projektabwicklung: Das Projekt durchführen
Most relevant
Finanzen für Nicht-Finanzfachleute
Most relevant
Projektinitiierung: Ein Erfolgreiches Projekt Starten
Most relevant
Grundlagen des Projektmanagements
Most relevant
Daten bereinigen
Most relevant
Daten über Visualisierungen teilen
Most relevant
‘Talk To Me’: Psychische Gesundheit und Umgang mit Krisen...
Most relevant
Course image
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 19, 2024 - September 2, 2024
Language
Deutsch
Good to know
Taught by Google Cloud Training, industry leaders in the field
Suitable for beginners looking to build a foundation in Encoder-Decoder Architectures
Covers the core concepts of Encoder-Decoder Architectures, a powerful technique used in natural language processing tasks like machine translation and text summarization
Provides hands-on practice with a step-by-step lab to implement an Encoder-Decoder Architecture for poetry generation in TensorFlow
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
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