The course was great. Andrew NG is a true authority in the NN field. The applications are many. Just missing at least a capstone project in the specialization.

After learning from this course, I built my own deep learning recognition project using the Convolutional Excalibur Network and implemented it, which is great.

Extremely helpful course, it covers whole concepts and building blocks of CNNs, lot of thanks for coursera and Sir Andrew for giving us the chance of learning.

Excellent course, enjoyed lectures very much, liked the references to research papers mentioned in each lecture. I also found the assignments very interesting.

Very helpful.Provide less support in the programming assignments.Start some course for implementing 3dCNN for classifying Medical images {Such as MRI or fMRI}

One of the best course available on the subject. I personally love the teaching style of Sir Andrew NG, Thank you for making learning easy and so interesting.

I enjoyed doing this course and learned so much in each lecture! Assignments were incredibly fun and loved implementing such cool papers. Thank you very much!

Well to understand a basic CNN and its application. Also introduce several CNN like LeNel, AlexNet...etc. to illustrate what is going on in each hidden layer.

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.