Could use more clarification/direction on the programming assignments. Also would be interested in learning more about how back propagation works with CNNs.

the content of this course was very interesting and practical. however towards the end (week 4), there were a lot of confusions about how TensorFlow works.

Excellent course. My only reason for not giving 5 stars is purely because there was a grading error on the last weeks' assignment which is still not fixed.

Really insightful. I did the course on Udacity and didnt understand much about the CNN but now I feel I have a better understand. I can't wait to apply it!

The bugs in the grading system make me uncomfortable. People have to submit the answer which is obviously wrong but favored by the grader to pass the test.

The content was fun and very useful. The last programming assignment had some incorrect guidance and made the grading experience unnecessarily frustrating.

The course is great. There is only one minor downside: sometimes the notebooks' connection is lost and you lose the latest modifications of your homework.

A good introduction to CNN's if you haven't seen them before. Strong on concepts and motivations. Kinda vague on mathematical details and implementations.

The course structure is really good. But please do fix the bugs in the assignments. Thanks to the discussion forum, it helped me a lot in fixing the bugs.

Excellent content delivered very honestly by Prof. Andrew Ng. The course has some broken grader issues which need to be fixed to make this course awesome.

explained very well

very interesting with andrew

the main problem with this course is bug fixing on assignments.. i lost alot of hours just because of this

the last programming assingment has a lot of bugs as of 9/13/19 and was verry difficult to pass even though the actual code was very simple ti implement.

It was a great course. Though the YOLO implementation part is a little confusing. Probably more implementation details could be covered in the lectures.

Course content was good and well structured. Some videos still need editing and grader for 2 assignments is faulty. Otherwise a very interesting course.

ipython notebook fails often. It was a frustrating experience. There are many bugs to be fixed to run the homework problem submission process smoothly.

A great course! I would have gladly given it 5 stars, but currently, the assignment of week four have bugs and the notebooks tend to stuck or run slow.

A bit dense and fast-paced even for Prof Ng's usual standards - this course is drinking from a firehose, but a great hands-on introduction to ConvNets

Could have a better explanation of TensorFlow graphs in the assignments. The course is still very good and provides a solid conceptual understanding.

Very interesting topics were covered in a quite comprehensive way. Only useful packages like Tensorflow and Keras were introduced only superficially.

Another wonderful course by the team, even with a few bumps this is one of the best introductions to what the heck a convolutional neural network is!

Great course and would totally recommend it. Assignments need a bit of work in terms of instruction clarity for use of certain tensor-flow commands.

I learnt many interesting ideas about convolutional networks, however, the course needs to be checked by the staff. There are many bugs in the code!

Programming challenges in this course were less practical than in previous ones, and instructions sometimes a bit vague. Still recommend it, though.

The notebooks did not help much to practice skills received from video lectures. Specially last 2 weeks. Felt like translating formulas into codes.

Very good course. The assignments are too easy and I would be able to complete them without understanding the course material or what I am coding.