Device-based Models with TensorFlow Lite
DeepLearning.AI · View on Coursera ↗
Taught by Laurence Moroney
Data ScienceComputer Science
About the course
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. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on e
The dissent
The most-upvoted critical review (7 votes, 2.0★).
“The topic is very interesting but the way the course is delivered is a bit disappointing. I really loved the TensorFlow in Practice specialization and the first course of the TensorFlow Data and Deployment delivered by M. Moroney. This course is not at all at their level. In addition, I'd prefer to have hands-on mandatory assignments than mere quizzes”
Coursera's 4.7 comes from 657 ratings. Of those, 1.5% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗