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TensorFlow on Google Cloud

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TensorFlow on Google Cloud

magic_button TensorFlow Machine Learning Pipeline Machine Learning Model Training
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15 heures Intermédiaire universal_currency_alt 25 crédits

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.

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Informations sur le cours
Objectifs
  • 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.
Prérequis

Some familiarity with basic machine learning concepts

Basic proficiency with a scripting language; Python preferred
Cible
- Data Analysts - Data Engineers - Data Scientists - ML Engineers - ML Software Engineers
Langues disponibles
English, 日本語, français, español (Latinoamérica), 한국어 et português (Brasil)
Aperçu