Gives great understanding about CNN. Just keep going through previous week topics throughout the course otherwise it can be hard to remember them till you reach week 4.

Most lucid explanation of of Convolution nets I've ever encountered. Would be nice if they reshot the errors in the videos, though I understand that may be challenging.

It is an amazing course, But in first week there should be optional videos for understanding backpropogation in CNN. Otherwise a great course and learned a lot from it.

Very insightful course. I enjoyed it a lot. I am looking forward that in future deeplearning.ai would include more mathematical depths in deep learning courses. Thanks.

非常好的学习体验！视频和练习作业都很实用，对于入门CNN很有帮助。

Very good learning experience! Both the lecture videos and online practices are useful. It's very helpful for getting started with CNN.

I am reserving 5 star ranking for Prof Andrew NG courses only until he does a course titled " Learning How to teach" and it is passed by those wanting a 5 star ranking.

Really nice well explained course. It gives really state of the art content and encourage you to learn more from papers. It is a well balanced with nice content course.

This course was awesome! I have a solid understanding of CNNs now, and I thought the neural style transfer and face recognition topics were super cool. Thank you Ng! :)

Probably the best course in the series so far. Really cool assignments, and well-structured course. Was able to do practical implementations beyond the course material.

Awesome lectures!! Extremely good and tricky assignment, almost close to dealing with real-life problems!!

Very grateful to "Andrew Ng" sir and the whole Coursera team.

WOW! Best course in the specialization, especially weeks 3&4. Neural Style Transfer is so much fun! I'm going to buy a new GPU just so I can play around with it more:)

As always, Andrew NG courses are excellent: the explanations are clear, the assignments help better understand the lectures and the instructor encourages you to pursue

I learned very much from this course! Computer vision was a very interesting topic that I am so happy to have learned to implement using convolutional neural networks!

It is very nicely designed course that gives a good understanding of state of the art Image classification and recognition algorithms using Convolution Neural Networks

great course, great architecture are presented in a simple and nice way, very good exercises and article references loved it! and I feel like it added a greater value

An excellent course, with well thought out assignments. Once I started it, I couldn't help but keep going and exploring. I am bit sad that the course is actually over.

This course gives me a more intuitive understanding of the principles of CNN. I have mastered and implemented many classic CNN structures through the four-week course.

Very good practical content! I suggest all programming courses teach in the same manner!

Combining jupyter notebook and lecture and quiz! Self-paced yet with deadlines!

Great course! Veru detailed explanations. Assignments could be improved by adding a bit more guidence on how to use the same code outside of the Coursera environment.

It is the best course on CNN one can get if you are a beginner. The course is very well structured and gives good intuitions on very complex ideas. Highly recommended

Hands-on assignments, this is something I missed in earlier courses, this course gives you an opportunity to see how models are implemented in real-world. Great Job !

Another great course by Andrew! The course is very interesting and Andrew takes every effort to make things clear to the students. Thank you for the wonderful course!

Hi Andrew,

This is the The best on Ineternet for CNN. There is no replacement of your hand written style of explanation. Please keep this style of teaching.

thx

-Suresh

I have had a lot of fun playing with the NST software. I thought the object detector was the most fun I've had with a neural network but then the NST was even better.

The description of CNN's and deep NN's was excellent, this course helps to understand NN's and their functions and how they help to improve the accuracy of results.