02
Encoder-Decoder Architecture
02
Encoder-Decoder Architecture
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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.
Course Info
Objectives
- 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.
Prerequisites
Solid basis in Python and Tensorflow
Audience
Data Scientists, ML engineers
Available languages
English, español (Latinoamérica), français, עברית, bahasa Indonesia, italiano, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文, Deutsch, and Türkçe
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