Google Cloud
Intro to TensorFlow en Français
Google Cloud

Intro to TensorFlow en Français

This course is part of Machine Learning with TensorFlow on Google Cloud en Français Specialization

Taught in French

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Create TensorFlow 2.x and Keras machine learning models and understand their key components

  • Use the tf.data library to manipulate data and large datasets

  • Use the Keras Sequential and Functional APIs for simple and advanced model creation

  • Train, deploy, and productionalize ML models at scale with Vertex AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Machine Learning with TensorFlow on Google Cloud en Français Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 6 modules in this course

Ce module présente le cours et ses objectifs.

What's included

1 video

Ce module présente le framework TensorFlow, ses composants principaux ainsi que la hiérarchie globale de l'API.

What's included

4 videos1 reading1 quiz

Les données sont essentielles aux modèles de machine learning, mais collecter les bonnes ne suffit pas. Vous devez également vous assurer de mettre en place les processus adéquats pour nettoyer, analyser et transformer ces données si nécessaire, pour que les modèles puissent les exploiter pleinement. Dans ce module, nous verrons comment entraîner un modèle avec des ensembles de données volumineux grâce à tf.data, travailler avec des fichiers en mémoire et préparer les données pour l'entraînement. Pour terminer, nous évoquerons les représentations vectorielles continues et le scaling des données effectué à l'aide de couches de prétraitement tf.keras.

What's included

9 videos1 reading1 quiz2 app items

Dans ce module, nous aborderons les fonctions d'activation et expliquerons en quoi elles sont nécessaires pour permettre aux réseaux de neurones profonds d'identifier les cas de non-linéarité dans les données. Ensuite, nous présenterons les réseaux de neurones profonds avec les API Keras Sequential et Keras Functional avant d'évoquer le sous-classement, qui offre une plus grande flexibilité pour la création de modèles. Enfin, nous parlerons de la régularisation.

What's included

11 videos1 reading1 quiz3 app items

Dans ce module, nous verrons comment entraîner des modèles TensorFlow à grande échelle avec Vertex AI.

What's included

3 videos1 reading1 quiz1 app item

Ce module résume le cours "TensorFlow on Google Cloud".

What's included

3 readings

Instructor

Google Cloud Training
Google Cloud
1,326 Courses2,541,708 learners

Offered by

Google Cloud

Recommended if you're interested in Machine Learning

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