Learner Reviews & Feedback for Device-based Models with TensorFlow Lite by DeepLearning.AI
About the Course
Top reviews
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.
Really informative course on tf lite for beginners like me, it has given serious thoughts about the EDGEML field and opportunities , thanks coursera and deeplearning.ai for this kind of courses.
76 - 88 of 88 Reviews for Device-based Models with TensorFlow Lite
By ZengFanyong
•1、Sound is too small；
2、The course could to be expanded further .
By Jinxiang R
•good demo for IOS and Android apps use tensorflow lite
By Elyasaf E
•Very good, not enough explanations.
By Alfian A H
•Nice. but volume is very low
By Gaurav K
•Difficult for a python user
By Dan R
•well-rounded course!
By Desiré D W
•Great course, content and instructor, but the assignment had some issues.
I submitted over 10 times without any feedback other then 'Grader Malfunction'. Also, all those times, the test cells in the notebook (put together by the instructors) ran smoothly, leaving my in the dark how to fix it. Was a bit of a frustrating experience.
Other than that, great content, very condense, very valuable to know how to deploy models on apps or small machines. This course inspired me to learn more about robotics - to apply ML on physical projects.
By NITIN S T
•Was a good starter course for deploying ML models on mobile devices. Though, most of the parts of this course was highly theoretical compared to Browser-based Deployment.
By Lim H H
•The audio volume is way too low and I have to max out my speaker to listen.
Great exposure to learn how to apply ML on various devices/OS.
By Sauman D
•Programming assignments would have been helpful.
By Francesco B
•There is just too much within this course and I think it should be splitted at least within Embedded applications and Mobile applications: rarely is a person interested in both fields. The quantity of the contents makes the course dispersive and topics almost uncorrelated. After succeeding in the course you do not feel you acquired any new skill but you just discovered that Tensorflow Lite exists. However I do not think one will be able to use this in practice after this course.
Please take care of the walk-through of this and the previous course: the quality of those videos is so bad that the code in it is unreadable. External slides (with text content that can be copied and pasted) would be a strong plus of this course as well as for the others.
By Nicolas S
•I am a bit disappointed by this course. I have much difficulty to pass the exercise on week 1 because of a cryptic module error. Unfortunately, no support the team was provided to solve the issue. The forum is almost not active at all.
By Ali E
•I checked this course for free. The subject matter is very interesting and I wished it had reasonable support (mentor response) and portability (meaning running on my own computer). Unfortunately, while Mr. Moroney does an excellent job at presenting the class, the exercises are unstable, crash for reasons other than my own code and there is ABSOLUTELY ZERO tech support! The discussion forum is an empty echo chamber. As usual, one wastes time trying to debug stupid python routine crashes that have nothing to do with the actual problem at hand. Cousera, you cannot charge for this class!
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