This course breaks down the very difficult concepts into parts to ensure that the students learn and are able to apply their learning for their work

Extremely insightful and great eye-opener: I've been able to come into a good basis for understanding the theory and practice behind usage of CNN's.

This course really made me feel like working on an actual project rather than just going through course material and solving some cooked up problems

I was new to CNN and I have gained a introduction with which I can go for research in this area which excites me. Thank you Andrew for such a course

Content is very good and covers the most important areas of Deep Learning in Computer Vision. Programming assignments could be a bit more demanding

确实学到了不少东西。吴大牛用心良苦啊。 再说一遍， 他是教师的典范。

另外最后一编程题中的 Triplet Loss 确实应该有 tf.reduce_mean（ ..., axis =-1）。 That must be a bug of grader, and should be fixed

Once all of the bugs are fixed in the programming assignments, this will be an incredible course for anyone in machine learning and computer vision.

Awesome experience in completing this one, as usual thumbs up to Andrew NG and the Team for creating such an involved and interesting course on CNN.

As usual, Andrew Ng has out performed himself in making the concepts simpler for novices to understand and generate the interest. Thank you Andrew.

Great Course, some assignments are difficult but overall great experience learning Convolutional Neural Networks(CNNs) and ResNets in intuitive way

A great course! All about CNN in one place.

Prof. Andrew Ng explained it all so clearly. Thanks to Coursera for offering this wonderful opportunity!

The course contents are very good, And it may be more useful if some explanation about coding is given to people who are not familiar with coding.

Amazing material, very thoughtful exercises which gave me the opportunity to get to know many different state-of-the-art algorithms and techniques.

Very good indication of CNN. However, some of the assignment materials such as Keras needs prior experience which are not presented in the course.

Great lecture in CNN and amazing application in real life. Even the course takes much effort for newbie in this field but this course is wonderful.

Very inspiring. The instructor is great. Assignment are carefully designed. Hopeful the technical problem of the last assignment can be fixed soon.

Enjoyed the course. Would have appreciated more if included programming assignment on visualizing intermediate layers and on class activation maps.

One of best course to understand convolution net, YOLO, face verification through encoding etc.

One again Andrew delivered the best and as expected.

Thank you to Professor Andrew Ng and Coursera for providing this fantastic educational opportunity. This wonderful course taught me great things.

Gained a lot knowledge on CNN and how it can be applied in many applications. The mathematical concept which is the important part of this Course.

This CNN course very interesting exercise and I have learned more knowledge about convolution. Discussion forums are very useful for concept-wise.

This is a very good course to understand the basics of CNNs. The classes along with the training exercises makes what is taught easy to understand

Well-explained lectures and interesting examples! Assignments are clearly instructed and help me to walk through the state-of-art neural networks.

Great introduction to convolutional neural networks! I feel like I now have a good basic understanding to continue my studies beyond this course.

This couse gives my a wonderful view and insights about the convolutional neural network. I have gained a lot of experience and knowledge from it!