I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.
Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').\n\nEvan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.
By Sotirios-Angelos L•
It doesn't give too much background theory and dives straight to Tensorflow specifics without giving a smooth intro
By Pavan e•
Things weren't clear . Without giving much details and Insights the instructors are giving codes .
By Peter F•
It's not much about Tensorflow, more a showcase of a "black-box approach" on how to use GCP
By Sumit M•
Good for understanding architecture but explanation and course readiness not in depth.
By Equip A•
Labs difficult to comprehend and badly guided
By John M•
Rushed, underexplained - will not recommend
By Hao H•
Feels like an ad for google cloud platform
By Naveen D•
Uses tensorflow 1, not relevant anymore
By A V S•
should have told about TensorFlow 2.0
By NITIN C V H•
The Lab explanation is not clear
By Chen C•
Not that good. No engagement.
By Filipe G•
out of date
By Tony T•
The first week was promising. Starting from the 2nd week though, the instructor stopped to really explain how the code works in the lab session. Even worse, in the solution video follow the lab session, he seems to be working off a different version of the codes than what is in the lab. I checked the comments a bit, it seems that the lectures and the labs were in sync 2-3 years ago; and then one of the them got updated but not the other.... If u r already experienced w/ tensorflow, u can probably follow just fine. I am comfortable in Python and Keras, but this is still too much for me.
By Muhammad M M•
Nothing is really properly explained, and labs expect you to be thorough with multiple topics, many of which are never covered. The readings are only vaguely related to the material required to solve the labs. The quizzes have many confusing questions which makes it seem like they were not proofread. And why do the labs have so much stuff required and a 45 minute timer?
By Eric L M d O•
In my opinion, this course doesn't teacht well... The didatic is not for everyone, mainly for who is really introducing in the platform. Also, the google cloud and its services is paid out the course, this means that if you want really create your ml models to pratice, you will be dependent by the plataforms
By Javier B G•
There are many errors on this course:
1) There is not explanation of Exporters and the videos speak like there is.
2) The last (and most interesting) lab is useless as the model dwnloaded is incomplete and was previously completed. But it is deleted by the change of goggle account.
Others I don't remember.
By Onur C•
It's so far the worst course I've ever taken on Coursera. Lab documents are completely different from video solutions. Codes consist of too many bugs, and you can't find any solution at the discussion forum.
By Mike W•
The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.
By Arman A•
Pros: Tensorflow is an excellent framework for deep learning
1- The way this material is designed is 10 X SHIT
2- Either teach properly or don't teach at all.
By Steven G•
Worst course on Coursera I've taken so far. I would've learnt far more from watching videos on YouTube or reading tutorials on the web.
By Sunil C•
This course is not free!!! They deducted my money after saying its free. Beware of the coursera frauds.
By Manas M•
The Course is not updated as per the material provided by qwiklabs. it is very difficult to follow
By Lam C V D•
Outdated course, uses Tensorflow 1.15 instead of 2. Please revamp it!
By yu m c•
very confusing labs and not much about tensorFlow
By Vinit K•