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Encoder-Decoder Architecture with Google Cloud

Free Course

Learn about the main components of the encoder-decoder architecture and how to train and serve these models.

In collaboration with
  • Google Cloud

About this course

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 a simple implementation of the encoder-decoder architecture in TensorFlow.

What you will learn

  1. 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.

Prerequisites and requirements

General experience in Python programming and Tensorflow.

See the Technology Requirements for using Udacity.

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.

Learn with the best.

  • Google Cloud Training
    Google Cloud Training

    Built in collaboration with Google Cloud Training