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.

Neural Transfer and Object Identification (YOLO) was not explained very well. I had to look out for external videos on Yoututbe to understand YOLO.

CNN is not only used for image processing. It can be used in other fields. I hope so we can find other case study than image processing. thank you

Week 3 has a bad grading system for the programming assignment. The exact "0" blocked many time, and waste efforts. Otherwise, the course is good.

It would be better if some gpus were provided, or the experiments of style transfer were a little painful. Anyway, the course itself is wonderful!

Pretty good! Although this class is very good and easy to learn, something in this course is so simple that some key points are not well claimed.

Good content but the labs should be upgraded to Tensorflow 2. Some quiz questions are bit vague and feedback isn't helpful to understand mistakes

Some videos are not carefully edited and there the teacher repeats some sentences.

But overall, the materials and of course Andrew Ng are perfect.

Assignments are not always consolidating acquired knowlegde, due to the distance between implementation from scratch and using predefined models.

Very nice course.

assignments are very high level though and just help in giving a taste of convolutional neural networks.

lecture notes are great

A bit buggy some of the exercises, some of the videos and some of the course notes, but the material is excellent and the learning is invaluable.

Amazing course that breaks down the complexity of CNN

Some assignment have issues yet the forum displays significant resources to help solve them