Step by step explanation of every component in CNN, the logic, the steps and also hands down clearly designed course for anyone who wishes to understand CNN from group up.

Great instructor. However, the fourth assignment had a defect by the Coursera staff that prevented successful operation. The Coursera staff should QA their work carefully.

Very informational. I like that the course is more general, but thanks to the references to the papers - people can go as deep as they want and "we need to go deeper" ;-)

Este curso ha sido el mejor de la especialidad de Deep Learning hasta el momento, con muchísimas aplicaciones increíbles e interesantes. ¡Estoy encantando con este curso!

An excellent course as usual. I'm taking it as part of the specialization. The notebooks were very insightful and amusing, delving into real-world problems. Really great!

Assignments were extremelly good and hard (even with so much of help, clues and documentation). I still really enjoyed learning this course. Andrew is an amazing teacher.

A very thorough course on the introduction of Convolution net and its application.It goes from basic to the advance level.A must do course for the beginners in the field.

The course was excellent and I learnt many brilliant things from this course. I thank Coursera for such wonderful course which gives insight to ConvNets such beautifully.

The material is clearly presented and the programming exercises emphasize the concepts necessary to master CNNs. This was my favorite course out of the 5-course sequence.

Andrew Ng : Just the best professor ... He has a very good way of explaining each component of a CNN . Also the course introduces lot of good computer vision concepts ...

This was the best course so far in this specialization. Big thumbs up for the creators of the assignments and Andrew for putting this awesome piece of lectures together.

A very comprehensive course, which covers important concepts in the field of computer vision and deep learning , thanks to Andrew and coursera for such a great contents.

A very well-structured course with a decent amount of hands-on programming assignments. Thoroughly enjoyed learning about CNN's. Andrew Ng is simply the best instructor.

excelent material. it was fun at the end assignment, i laughed at benoint seling the id card and a machine saying "please go away" to him, lol. thanks for this course!!!

I really appreciated this course because it proposes a wide range of methods to deal with computer vision problems. In my opinion, the best course of the specialization.

This course is absolutely amazing . You get to know a lot in detail about convolutional neural networks , how they work and how to apply it in computer vision problems .

From the course, we can learn the details of CNN and how it grew. Maybe someday we can apply the great ideas from CNN to other problems. I learned much from this course.

Despite of some bugs in the Assignments as well as in videos I really enjoyed the course material and learned a lot. Looking forward to completion of the specialization.

Definitely one of the most exciting topics among the deep learning specialization course, get to learn a lot of knowledge and wonderful CNN theories, highly recommended

Great thanks to instructor Andrew Ng, the five Deep Learning courses and one Machine Learning course taught by him are really enjoyable and the best ones in DL and ML.

Very detailed course on convolutional neural nets. I like how it starts with a basic intuition on the concept before delving into formal details. Fun exercises as well.

The course gives a good overview on most popular topics of CNNs. You get an idea of the inner workings and the frameworks used and what can be achieved by applying NNs.

This is the best course for the convolutional neural networks . It will give a detail information about how CNN are going to work and about various techniques about CNN

Very useful courses! Thank Professor Andrew Ng very much for bringing these projects from inside to outside. Wish Professor Ng give us courses every year in this field.

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.