Chevron Left
Back to Device-based Models with TensorFlow Lite

Learner Reviews & Feedback for Device-based Models with TensorFlow Lite by DeepLearning.AI

565 ratings

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 embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews


Mar 24, 2021

Great course - I learned a lot about how TensorFlow can be run on a wide variety of devices. I am especially interested in TensorFlow running on Raspberry Pi, Google Dev Board (Coral) and Jetson Nano.


Oct 12, 2020

Really informative course on tf lite for beginners like me, it has given serious thoughts about the EDGEML field and opportunities , thanks coursera and for this kind of courses.

Filter by:

26 - 50 of 96 Reviews for Device-based Models with TensorFlow Lite

By Gokila

Nov 17, 2021

By Peter S

May 3, 2020

By Samuel R

Apr 15, 2020

By Samudrala C K

Jul 16, 2020

By Muthu R P E

Apr 2, 2020

By Nasir M

Jul 28, 2020

By Ash

Mar 31, 2020

By Ataliba M

Apr 19, 2021

By Fabrice L

Mar 19, 2020

By divya p p

Jul 26, 2020

By Jianlei J S

May 25, 2020

By Jaswanth N

May 6, 2020

By Rohan P

Aug 23, 2020

By Balaji B

Mar 23, 2020

By Manuel P Z

Oct 15, 2020

By Farhan F

Apr 25, 2022

By Dave W B

May 14, 2020

By satish b

Mar 8, 2022

By Shuai Z

Sep 29, 2020

By Suresh K M

Apr 7, 2020


Jul 30, 2022

By Deepen s

May 13, 2020

By Amandeep S

May 13, 2020

By Akshaykumar S

Sep 26, 2020

By Vinay M

May 15, 2020