External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Encoder-Decoder Architecture - Français

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Explains the Encoder-Decoder architecture for machine learning tasks

Original Description

Ce cours offre un aperçu de l'architecture encodeur/décodeur, une architecture de machine learning performante souvent utilisée pour les tâches "seq2seq", telles que la traduction automatique, la synthèse de texte et les questions-réponses. Vous découvrirez quels sont les principaux composants de l'architecture encodeur/décodeur, et comment entraîner et exécuter ces modèles. Dans le tutoriel d'atelier correspondant, vous utiliserez TensorFlow pour coder une implémentation simple de cette architecture afin de générer un poème en partant de zéro.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Related Reads

AI Training Data Services: The Complete Enterprise Guide to Building Accurate AI Models (2026)

Learn how to build accurate AI models with the right training data services for your enterprise, and why it matters for AI success

Medium · Machine Learning

Machine Learning Concepts Explained #4: Features and Labels

Learn the difference between features and labels in machine learning and their role in supervised models

Machine Learning Concepts Explained #4: Features and Labels

Learn the difference between features and labels in machine learning and their role in supervised learning

Medium · Machine Learning

Machine Learning Concepts Explained #4: Features and Labels

Learn the difference between features and labels in machine learning and their role in training supervised models

Medium · Data Science

Dropout in Deep Learning