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
26,586 already enrolled
(508 reviews)
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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
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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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Reviewed on Dec 1, 2020
If you want to learn extra libraries of tensorflow then take this
Reviewed on Mar 30, 2020
Many useful stuffs if you want to move for Tensorflow or AI Deployment
Reviewed on Mar 23, 2020
Very clear, the pace is right, content is very interesting and classes are engaging. What else is to desire? :)
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