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Google Cloud Training

בקורס הזה לומדים בקצרה על ארכיטקטורת מקודד-מפענח, ארכיטקטורה עוצמתית ונפוצה ללמידת מכונה שמשתמשים בה במשימות של רצף לרצף, כמו תרגום אוטומטי, סיכום טקסט ומענה לשאלות. תלמדו על החלקים השונים בארכיטקטורת מקודד-מפענח, איך לאמן את המודלים האלה ואיך להשתמש בהם. בהדרכה המפורטת המשלימה בשיעור ה-Lab תקודדו ב-TensorFlow תרחיש שימוש פשוט בארכיטקטורת מקודד-מפענח: כתיבת שיר מאפס.

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Syllabus

ארכיטקטורת מקודד-מפענח: סקירה כללית
ביחידה הזו לומדים בקצרה על ארכיטקטורת מקודד-מפענח, ארכיטקטורה עוצמתית ונפוצה ללמידת מכונה שמשתמשים בה במשימות של רצף לרצף, כמו תרגום אוטומטי, סיכום טקסט ומענה לשאלות. תלמדו על החלקים השונים בארכיטקטורת מקודד-מפענח, איך לאמן את המודלים האלה ואיך להשתמש בהם. בהדרכה המפורטת המשלימה בשיעור ה-Lab תקודדו ב-TensorFlow תרחיש שימוש פשוט בארכיטקטורת מקודד-מפענח: כתיבת שיר מאפס.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Encoder-Decoder architecture, which is standard in industry applications such as natural language processing
Taught by Google Cloud Training, recognized for their work in cloud computing technology
Develops skills in using TensorFlow, which is a highly sought-after skill in the industry
Offers hands-on labs and interactive materials, promoting practical application of concepts

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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 - בעברית with these activities:
Organize your course materials and notes
Enhance your learning process by organizing and reviewing the materials covered in the course.
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  • Gather all relevant course materials, including lecture notes, assignments, and readings.
  • Create a system for organizing and categorizing these materials.
  • Review and summarize the key concepts and ideas.
Review Encoding and Decoding Concepts
Reinforce your understanding of encoding and decoding by reviewing the fundamentals.
Browse courses on Encoder
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  • Review basic encoding and decoding principles.
  • Go over popular encoding and decoding algorithms.
  • Practice performing encoding and decoding operations.
Follow tutorials on sequence to sequence models
Enhance your comprehension by exploring practical applications and examples of seq2seq models.
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  • Identify and access relevant tutorials on sequence to sequence models.
  • Follow the tutorials step-by-step and implement the concepts.
  • Experiment with different model architectures and datasets.
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Career center

Learners who complete Encoder-Decoder Architecture - בעברית will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and implement AI systems. This course will teach you about encoder-decoder architecture, which is a fundamental technique for building AI models. With this knowledge, you'll be well-prepared for a successful career as an Artificial Intelligence Engineer.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and deploying machine learning models. This course will teach you the fundamentals of encoder-decoder architecture, which is a powerful tool for building models that can handle sequential data. With this knowledge, you'll be well-positioned for a successful career as a Machine Learning Engineer.
Speech Scientist
Speech Scientists research and develop technologies for speech recognition and synthesis. This course will teach you about encoder-decoder architecture, which is a key technology for building speech models. With this knowledge, you'll be well-prepared for a successful career as a Speech Scientist.
Natural Language Processing Engineer
Natural Language Processing Engineers develop and maintain systems that can understand and generate human language. This course will teach you about encoder-decoder architecture, which is a key technology for building NLP models. With this knowledge, you'll be well-prepared for a successful career as a Natural Language Processing Engineer.
Data Scientist
Data Scientists use advanced analytical techniques to solve complex business problems. With the skills you'll learn in this course on encoder-decoder architecture, you'll be better equipped to build and train models that can help you identify patterns and trends in data. This course can help you build a foundation for a successful career as a Data Scientist.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course will teach you about encoder-decoder architecture, which is a powerful tool for analyzing sequential data. With this knowledge, you'll be well-prepared for a successful career as a Data Analyst.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will teach you about encoder-decoder architecture, which is a useful technique for building software systems that can handle sequential data. With this knowledge, you'll be well-prepared for a successful career as a Software Engineer.
Compliance Analyst
Compliance Analysts ensure that businesses and organizations comply with laws and regulations. This course will teach you about encoder-decoder architecture, which is a useful technique for analyzing compliance data. With this knowledge, you'll be well-prepared for a successful career as a Compliance Analyst.
Fraud Analyst
Fraud Analysts investigate and prevent fraud. This course will teach you about encoder-decoder architecture, which is a useful technique for analyzing fraud data. With this knowledge, you'll be well-prepared for a successful career as a Fraud Analyst.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course will teach you about encoder-decoder architecture, which is a useful technique for solving problems involving sequential data. With this knowledge, you'll be well-prepared for a successful career as an Operations Research Analyst.
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. This course will teach you about encoder-decoder architecture, which is a powerful tool for analyzing sequential data. With this knowledge, you'll be well-prepared for a successful career as a Statistician.
Financial Analyst
Financial Analysts provide financial advice to individuals and businesses. This course will teach you about encoder-decoder architecture, which is a useful technique for analyzing financial data. With this knowledge, you'll be well-prepared for a successful career as a Financial Analyst.
Risk Analyst
Risk Analysts identify and assess risks to businesses and organizations. This course will teach you about encoder-decoder architecture, which is a useful technique for analyzing risk data. With this knowledge, you'll be well-prepared for a successful career as a Risk Analyst.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course will teach you about encoder-decoder architecture, which is a powerful tool for building financial models. With this knowledge, you'll be well-prepared for a successful career as a Quantitative Analyst.
Actuary
Actuaries use mathematical and statistical techniques to assess risk. This course will teach you about encoder-decoder architecture, which is a useful technique for analyzing risk data. With this knowledge, you'll be well-prepared for a successful career as an Actuary.

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 - בעברית.
Provides a comprehensive overview of deep learning, including a chapter on sequence-to-sequence learning and encoder-decoder architectures.
Provides a comprehensive overview of reinforcement learning, which type of machine learning that allows agents to learn how to behave in an environment by interacting with it.
Provides a comprehensive overview of machine learning, including a chapter on neural networks.

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