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.
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.
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Learner reviews
4.3
51 reviews
5 stars
62.74%
4 stars
15.68%
3 stars
15.68%
2 stars
3.92%
1 star
1.96%
Showing 3 of 51
R
RD
4·
Reviewed on Sep 11, 2023
The important things hadn't been explained enough.
J
JP
4·
Reviewed on May 29, 2024
was some what difficult understanding the narrator. I had to download the transcript to be able to follow along with understand. other than that The Course Was Great
R
RD
5·
Reviewed on Sep 28, 2024
I love that this course contains multiple coding examples
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