Good quick review of basic tensorflow applications. Not particularly rigorous or in-depth, but enough to reinforce/introduce introductory concepts.

Great material. The grader and jupyter notebooks need to converge with the github repo. Copies of original assignments on github would really help!

The course is a good one but very basic. And I was expecting TensorFlow not Keras maybe that's why I found it a bit too basic and introductory.

The ideas were explained in a really good manner. The level should have been more challenging for programming assignments with less hand-holding

A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.

Great introduction on Tensorflow and some key concepts of NN, however I find the course fees is slightly too expensive for such an introduction.

Covers only the basic coding part using tensorflow. I suggest you take the Deep Learning Specialization before this course for the math basics.

A good introduction to TensorFlow. Anyone with just a little programming experience will be able to get started in this very exciting new tool.

It was a grate experience to learn Dnn, Cnn, keras , tensorflow . Concepts where explained with examples which made course easy and intesrting.

Course is pretty good except for one issue, arugument expected by logs.get() in notebook is 'acc' but video in course urges to use 'accuracy'.

There are some technical issues with submitting the assignments. These can be easily overcome, take some time to find out how to do it though.

The course is great, If you have already done deep learning specialization by deeplearning.ai then this course will give the finishing touch!

too easy for experienced programmer, only introduce keras instead of full tensorflow api, it will helps if an advanced course can be offered.

Really i admire the course it was such amazing and i really appreciate the instructor Sir Laurency he is such an amazing teacher i ever had.

Quite a good and practical course work....however the problem set needs to have more difficulty. Overall a nice course...worth recommending!

The course material features code snippets, that aren't well explained. Please leave some resources for how to read the os instructions etc.

It was a pretty amazing course. Beginner level, not course heavy . Being a beginner, I didn't even for once feel tuned out or lost interest.

Tight, simple coverage of the subject. Possible to move quickly through the course, if the user is familiar with this level of TensorFlow.

This course helped me lot as beginner.The only thing is why the assignments were still marked as unfinished even though i have finished it.

Its a simple introduction to TensorFlow. I highly recommend to read the extra material to get insight on whats going on behind the scenes.

It is a perfect foundation course, to start with simple to learn and use keras api behind the doors, integrated with tensorflow framework.

very interesting, and well structured, videos are a tad bit short and lack some detailed content. Overall a fine introduction to the topic

Easy to follow. Wish the lab sessions can be more interactive and run directly on Coursera platform instead of running on personal Colab.

I believe it's a really good INTRODUCTION to inspire newcomers to deep learning, however it should be free as there isn't much to pay for

The lessons are pretty amazing. The only problem that I encountered was the complex ML terms that popped all the time during the course,