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
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Advanced Deployment Scenarios with TensorFlow
This course is part of TensorFlow: Data and Deployment Specialization
Instructor: Laurence Moroney
26,941 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
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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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- Gain a foundational understanding of a subject or tool
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- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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
AM
5
Reviewed on Oct 10, 2022
Great course! Very important for real world implementation
AS
5
Reviewed on May 15, 2020
Awesome course for the using and application of Machine learning
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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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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