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:
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.
Certificate Available ✔
Get Started / More InfoThis course comprises modules that cover the fundamentals of the encoder-decoder architecture, followed by a hands-on workshop tutorial and quiz.
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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