Course

Encoder-Decoder Architecture - Français

Google Cloud

This course provides an in-depth overview of the encoder-decoder architecture, a powerful machine learning model used for seq2seq tasks. You will learn about its key components, training, and implementation using TensorFlow and Keras.

What You'll Learn:

  • Understanding the key components of the encoder-decoder architecture
  • Training and generating text using the encoder-decoder architecture
  • Developing your own encoder-decoder model in Keras

In this course, you will delve into the architecture's structure, training, and practical implementation through a workshop tutorial. By employing TensorFlow, you'll create a simple implementation to generate a poem from scratch.

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Encoder-Decoder Architecture - Français
Course Modules

This course comprises modules that cover the fundamentals of the encoder-decoder architecture, followed by a hands-on workshop tutorial and quiz.

Architecture encodeur/décodeur : présentation

Module 1: Architecture encodeur/décodeur: présentation

Delve into the fundamental principles of the encoder-decoder architecture, understanding its architecture and key components.

Duration: 7 minutes (Preview module), 20 minutes (Workshop tutorial), 10 minutes (Workshop resources), 10 minutes (Quiz)

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