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

Building a Public Financial ML Lab Without Exposing a Trading Strategy

Learn to build a public financial ML lab without exposing your trading strategy, separating production ML engineering proof from private trading logic

Medium · Machine Learning

Solving Hard Problems at the Research–Engineering Boundary: Methodology for Frontier Machine…

Learn to tackle hard problems in machine learning by combining research and engineering methodologies

how to solve hard technical problems at the boundary between research and engineering?

Learn to solve hard technical problems at the boundary of research and engineering by scaling experiments and improving training reliability

Moving to Airflow 3 on MWAA: Three Problems We Hit and How We Fixed Them

Learn how to overcome common issues when migrating to Airflow 3 on Amazon MWAA, improving security and runtime support

Medium · Machine Learning

Dropout in Deep Learning