Google Cloud Skills Boost

TensorFlow on Google Cloud

Fundamental universal_currency_alt 25 Credits

This course covers designing and building a TensorFlow 2.x input data pipeline, building ML models with TensorFlow 2.x and Keras, improving the accuracy of ML models, writing ML models for scaled use and writing specialized ML models.

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info

Course Info

Objectives
  • 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
Prerequisites
Some familiarity with basic machine learning concepts Basic proficiency with a scripting language; Python preferred
Audience
- Data Analysts - Data Engineers - Data Scientists - ML Engineers - ML Software Engineers
Available languages
English
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