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
Advanced Deployment Scenarios with TensorFlow
This course is part of TensorFlow: Data and Deployment Specialization
Instructor: Laurence Moroney
26,842 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(510 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 12 hours
Learn at your own pace
97%
Most learners liked this course
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is part of the TensorFlow: Data and Deployment Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor
Instructor ratings
4.9 (47 ratings)Offered by
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4.8
510 reviews
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Showing 3 of 510
CY
5
Reviewed on Mar 30, 2020
Many useful stuffs if you want to move for Tensorflow or AI Deployment
P
5
Reviewed on May 3, 2021
Nice course about tensorflow deployment techniques
SM
4
Reviewed on Apr 10, 2020
This topic seems to be very important but the content is not as good as rest of the weeks content, more explanations and more simple examples could have helped
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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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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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