This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
TensorFlow on Google Cloud - Français
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TensorFlow on Google Cloud - Français
This course is part of Machine Learning with TensorFlow on Google Cloud en Français Specialization
Instructor: Google Cloud Training
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Create TensorFlow and Keras machine learning models and describe 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
Earn a career certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in French
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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.
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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 assignment
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
10 videos1 reading1 assignment2 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
10 videos1 reading1 assignment2 app items
Dans ce module, nous verrons comment entraîner des modèles TensorFlow à grande échelle avec Vertex AI.
What's included
3 videos1 reading1 assignment1 app item
Ce module résume le cours "TensorFlow on Google Cloud".
What's included
4 readings
Instructor
Offered by
Recommended if you're interested in Machine Learning
Google Cloud
Google Cloud
Google Cloud
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.