Amazing course...I think every deep learner :-) should take this course. Powerful, clear and insightful teaching of Andrew Ng Sir. kudos to the team behind...

This course so far has been the most interesting as well as challenging. The assignments seemed a bit difficult because I wasn't very skilled with TensorFlow.

Very difficult, very deep... but very enligthening

(Totally Recommended, although working with images may not be your main objective with deep learning... :-)

Awesome Professor, awesome Mentors, awesome material. This course is so amazing. I enjoyed it a lot!!! Keep the good work. I love Coursera and DeepLearning.ai

Brilliant course. There are a few small problems with some of the assignments, but overall I've learned so much that these small imperfections are irrelevant.

Good introduction to the fascinating area of Convolutional networks. Great overall, but finishes on a low note with the trivial Neural Style Transfer section.

Exceptional course on CNNs. Programming assignments proved to be very useful to see for oneself the incredible power of advanced CNNs taught in the lectures.

The most broad topic in the entire specialization. The practical applications through programming assignments reinvigorates the theory thought in the videos.

Very nice course, the instructors have explained difficult concepts right from scratch and adequate depth which is required for implementing these networks.

Relatively easier course. Good intuitive understanding and can do the homeworks easily. But not sure if the homework could have been done without the hints.

By far the best course in this series. honestly i got to know so many new things that i have not learned anywhere ... thanks andrew you are the best teacher

Absolutely awesome. The YOLO algorithm was a little bit hard for me but I was saved by the well-organized lecture and the programming assignment. Thank you.

the course was great, gave me all the perspective i was looking for to understanding the convolution NN. more explanation on the YOLO would have been better

Its one of the best courses i have taken, it help with my current research of crop detection for developing countries using multispectral satellite imagery.

Excellent course to learn intuition about CNNs. A tip for new students, brush up on tensorflow and keras before jumping into this to maximize your learning.

You have to fix the problems with week 4 assignments. If you follow the instructions on "triplet loss" the grader will give you a wrong answer and 0 grades.

This course is a little challenging, but 100% worth it! Wow. I learned things I never thought I could. The examples, analogies, and assignments are superb.

Classes are well taught, and key concept are clearly explained. The exercises are not difficult but give a good sense of CNN concepts and its applications.

This course is fantastic. The intuitions given by the instructor are very clear and help a lot in visualising the process going on while implementing CNNs.

Very good and detailled course. Programming exercises are however a bit too short and sometimes multiple ways of programming can lead to different results.

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

Very elaborate concepts explained in a very simple and understanding manner. Many application points are covered, along with explaining research prospects.

The explanation was very clear and the programming exercises were well organized. I recommend this to anyone who is interested in learning computer vision.

The way Andrew Ng teaches about the convolutional neural network is unparalleled. This course will help you to go deeper into the world of computer vision.

The best course I've seen teaching CNN with very well-designed and interesting topics and assignment. MUCH better than fast.ai courses and Stanford CS231n.