this lecture provides a good starting for learning Tensorflow.

there are good exercises with doing actual python coding,

Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.

It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.

Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.

Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow

The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.

Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future

Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners

Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course

In general the course was nice. I just got some issues dealing with TF 1.x and 2.x. Anyway, I recommend this course.

I thought this course is more focused on the basic elements of TensorFlow, but it was very heavy on computer vision.

Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.

It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.

I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.

There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions

Each chapter contains too less contents. Should compress the contents more so that it will be easier to navigate

No graded assignments, need more clarifications on how the params are calculated in model summary in tensorflow.

Nice course, but the big content were coming so suddenly. So make the course bigger and give proper detaills.

Precise and clear. Would recommend AndrewNG's deep learning course before doing this course for more clarity.

The content was good but we are here to learn Tensorflow. Please add some content to learn TensorFlow tools.

A Good course presenting many interesting concepts about computer vision and convutionnal neural networks.

The course content as well as exercise are very inspired! But the grading system sometimes confuses user.

An introduction to use TensorFlow. However, some workflows were not easy to follow, especially in Week 4.

after Dr. Andrew Ng's introduction courses, this one provides good chance to play skills with tensorflow.

It's a good start to master the TensorFlow, but maybe it's need more exercises and real life challenges.