Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
Advanced Deployment Scenarios with TensorFlow
This course is part of TensorFlow: Data and Deployment Specialization
Instructor: Laurence Moroney
25,548 already enrolled
(505 reviews)
Recommended experience
What you'll learn
Use TensorFlow Serving to do inference over the web
Navigate TensorFlow Hub, a repository of models that you can use for transfer learning
Evaluate how your models work and share model metadata using TensorBoard
Explore federated learning and how to retrain deployed models while maintaining data privacy
Details to know
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There are 4 modules in this course
What's included
12 videos7 readings1 assignment
What's included
11 videos8 readings1 assignment1 programming assignment1 ungraded lab
What's included
10 videos3 readings1 assignment1 programming assignment1 ungraded lab
What's included
9 videos5 readings1 assignment
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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