Content is great but lack of instructor support makes the course hard to understand.

While the lectures were fairly well done they in no way prepared you for the projects. Way too much time was spent deciphering exactly what was to be done in the project sections. Very disappointing was the complete lack of any support on the forum - none - zero. A little feedback and support here would haver made all the difference. Absolutely do NOT recommend this course and will not be taking the following on. Just not worth the time. I am better off learning on my own.

Lots of errors in assignments. I had to read forums for almost every graded assignment, that's disappointing.

Some programming assignments need to be provided with more guidance and clarification.

need more example in lesson for programming tasks and for equations

I know this is a tough topic, but I was expecting more in-depth and practical coverage of the object-detection and segmentation CNNs. Week 1&2 gave a good overview of visual perception and feature detection. Week 3-6 were pretty shallow. The final project was reasonably well-put, but the outputs of the object detector and the segmentation CNNs were just given for use and to me personally those are the most interesting aspects of the autonomous vehicle vision system.

Like the previous two course I found this one well structured and presented. Basically my comments from course 1 and 2 still hold. I found the coding assignment for week 2 rather challenging but with the help of the discussion forum there should be no problem to pass it. In contrast the final coding project was less difficult. I really loved the content of the final assignment as it provided a detailed look under the hood of a perception stack guiding you through the various stages. The multiples pictures generated as part of your code are a great help to understand the various aspects.

I do not understand why this course just have 4.3 ratting. Personally I think this course is very very helpful. It provides many practical advice and makes feel that I have got a up-to-date understanding of this fiels. There is no doubt that this is one of the best courses on Coursera.

Though not dive into training neural net. But for me who have taken deep learning specialization, I fully respect this and find it amazing that this course introduces quite a lot of the application of deep learning output and provides programming exercises on them, which is great.

I am really surprised at the depth of topics discussed. I believe i spent around 5-8 hours researching topics on ANN and Machine learning.

superb, the assignment was quite tough but the overall experience was amazing. thanks to instructors, TAs, Coursera, and fellow learners!

Many thanks for this amazing course!!!! was very hard to me but I have learned a lot!!! Thanks!!!

It is an amazing course. Really good information and projects related with Visual Perception

I had a great time taking this course. Thank you!

Excelent Course, extremely recommended.

Useful

I feel disappointed. Programming assignments are neither for 2D object detection nor for semantic segmentation.

Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.