Ce cours présente les concepts d'interprétabilité et de transparence de l'IA. Il explique en quoi la transparence de l'IA est importante pour les développeurs et les ingénieurs. Il explore des méthodes et des outils pratiques permettant d'atteindre l'interprétabilité et la transparence des modèles d'IA et des données.
Responsible AI for Developers: Interpretability & Transparency - Français
Responsible AI for Developers: Interpretability & Transparency - Français
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Définir l'interprétabilité et la transparence dans le domaine de l'IA
Décrire l'importance de l'interprétabilité et de la transparence dans l'IA
Explorer les outils et techniques permettant d'atteindre l'interprétabilité et la transparence dans l'IA
Details to know
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Assessments
1 assignment
Taught in French
Recently updated!
July 2024
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There are 4 modules in this course
Ce module présente la structure du cours et ses objectifs.
What's included
1 video
Ce module s'intéresse principalement à l'interprétabilité et la transparence de l'IA. Il fournit des techniques et outils différents permettant d'atteindre l'interprétabilité et la transparence des modèles d'IA et des données.
What's included
9 videos1 assignment1 app item
Ce module propose une synthèse du cours articulée autour des concepts, technologies et outils les plus importants.
What's included
1 video1 reading
Le PDF destiné aux participants contient les liens vers tous les modules.
What's included
3 readings
Instructor
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