Learn about the main components of the encoder-decoder architecture and how to train and serve these models. 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.
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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 a simple implementation of the encoder-decoder architecture in TensorFlow.
What you will learn
Encoder-Decoder Architecture with Google Cloud
- 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.
Why take this course?
This course covers the essential elements of the encoder-decoder architecture and provides guidance on training and deploying these models. Additionally, during the lab walkthrough, you will have the opportunity to code a basic implementation from scratch of the encoder-decoder architecture for generating poetry using TensorFlow.
