This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
Encoder-Decoder Architecture
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4.2
(37 reviews)
Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the main components of the encoder-decoder architecture.
Learn how to train and generate text from a model by using the encoder-decoder architecture.
Learn how to write your own encoder-decoder model in Keras.
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
This module gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
What's included
2 videos1 reading1 assignment
Instructor
Instructor ratings
3.9 (10 ratings)
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Recommended if you're interested in Cloud Computing
Google Cloud
Google Cloud
Edureka
Google Cloud
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