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Pluralsight

TensorFlow on Google Cloud

via Pluralsight

Overview

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.

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.

Syllabus

  • Introduction to the Course 1min
  • Introduction to the Course 1min
  • Introduction to the TensorFlow Ecosystem 19mins
  • Introduction to the TensorFlow Ecosystem 19mins
  • Design and Build an Input Data Pipeline 40mins
  • Design and Build an Input Data Pipeline 37mins
  • Building Neural Networks with the TensorFlow and Keras API 45mins
  • Building Neural Networks with the TensorFlow and Keras API 45mins
  • Training at Scale with Vertex AI 7mins
  • Training at Scale with Vertex AI 7mins
  • Summary 0mins
  • Summary 0mins

Taught by

Pluralsight

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