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Production Machine Learning Systems

Offered By: Pluralsight

Tags

Machine Learning Courses TensorFlow Courses Google Cloud Platform (GCP) Courses Distributed Training Courses

Course Description

Overview

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators. This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.

Taught by

Google Cloud

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