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

such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer

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.

The course is a great recommendation for those interested in improving their AI, ML skills through tensorflow.

They must say that we need some background on deep learning and ML as well, but overall, it's a great course.

3주차 까지는 모든 코드의 설명이 존재했던 듯 한데, 4주차의 시각화 부분 ImageDataGenerator 부분의 설명은 부족한 듯 합니다. 그럼에도 수업에서 많은 것을 배워갑니다. 감사합니다!

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.

very helpful, though I wished there were broader topics, but still very good for begginers, easy to follow

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