Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
por Rotem R•
not much theory, but very hands on experience
por RANJITHKUMAR R•
In Programming its difficult to learn for us
por Mert Y•
Moderate introduction to DL and Tensorflow
por Samuel W•
I hope they fix the bugs. So many bugs.
por Edgar K•
Nicely explained, but a bit too easy.
por Navid H•
The first assignment was really buggy
por Dylan R•
Too easy, notebooks gave away answers
por Oussama B•
More details in explanations please
Great course, but needs more depth.
por Reza Y•
Forum is not supervised actively.
por Svante K•
Nice to do more hands-on tf.
por Enyang W•
too easy, which is not good!
por Swarnadip B•
became too complex and fast
por Muhammad A B•
lol it was hard haha
por Udit G•
Very basic Intro.
Little bit easy
por Nikola R•
Week 4 is weak.
por Yanming W•
can be better
por Siddhesh D•
por Masoud V•
por Javier P•
por Thomas A•
por jiwon c•
por Madeline C•
The content was pretty good, although I didn't feel like it added much that I didn't learn through deeplearning.ai's Deep Learning courses taught by Andrew Ng. There were a few interesting details specific to Tensorflow, but overall I felt the course was just information that could be found on Tensorflow's documentation--I did not feel guided through the process (but I realize that's more of a personal opinion).
The reason I am giving only 2 stars is that some of the homework assignments were poorly explained, leaving me confused about how to complete them (especially the very first assignment). Some of them were not updated, and other students had issues with this as well, because they wrote about it in the forum. Some of these issues raised in the forum were never addressed, but have just been sitting in the forum for months and even years. I think this is very unprofessional if you are going to take someone's money for a course. There should be more of an effort to update the assignments, clarify them--or, if you aren't going to offer guidance in the assignments themselves, then you should have someone actually responding to people's questions in the forum on a regular basis.
2.5 stars. While the Andrew Ng’s Deep Learning Specialization was a great introduction, this TF Developer Professional Certificate was not on par, and I’m afraid I persisted mainly for the not-very-good reason of getting the certificate...Not a complete waste of time, however, as it does provide extra exposure to tf, though almost exclusively through the keras Sequential api. To pass, you need merely pass the quizzes, and those are really poorly structured. There are no graded coding assignments. There does not seem to be must mentor-activity in the forums, and a number of people have noticed possible coding errors and inconsistencies which remain unresolved.
Added later: I really recommend having a look at Coursera's "Tensorflow 2 for Deep Learning" specialization, which is offered by Kevin Webster at Imperial College. In my opinion, this course has a much, much higher standard.