This convolutional neural networks course really surprised me by the length and depth of its contents. One more time, Andrew Ng is phenomenal and is a awesome opportunity to learn from him!

This course really made me realize what it's out there and how smart systems are generated through mathematics. Having a deep love with mathematics led my skills uprising with it. HAPPY : )

Thank you so much to Professor Ng, the course is great way to learning computation vision. It has excelent class with videos and exercises which give good explanation of this amazing field.

This course is easy to follow, cleared some black boxes for me. Even if you are not planning to purchase, it allows you to learn the most out of it by providing answered project assignment.

A very well structured course to understand best practices for computer vision using deep learning. It's the best place to understand the well known but fairly complex deep learning models.

Очень доходчиво и понятно.

Отличный фундамент для дальнейшего более глубокого изучения нейронных сетей, работы с ними и для личного профессионального роста в данной области.

Огромное спасибо!

This was a fantastic introduction to CNNs. I gained a lot of insights and intuition and a solid foundation for diving deep into the fascinating world of image processing. Thank you AndrewNg

Amazing course! Has theoretical as well as practical components. Great learning experience! 10/10 would do it again. Prof. Andrew is an outstanding teacher, really love his teaching style!

I've learned a lot from this course. I'll try my best to apply this knowledge to have benefits for me and people around me.

Thank you very much, Sir Andrew Ng, all mentors and team members.

Super clear diagrams and explanations. Nevertheless, many of the video lectures are badly edited (in this and other courses of the specialization) so get used to hearing repeated sections.

Very nice course! Just wish there were more online TA I could turn to. But the community is already very developed. Many questions you may encounter are answered in a suggesting way there.

this course is an excellent introduction to artificial vision, Even though I had a lot of problems with the jupyter notebook in the programing assignments, I learned a lot from this course

In my opinion, this course is the most important part of the deep learning specialisation. This is absolutely brilliant, it completely opened my mind into the capabilities of the deep NNs.

Another exceptional course from Andrew Ng. The lectures were very lucid, the examples clear and instructional (and sometimes fun) and the quizzes/exercises challenging. Highly recommended!

I am lucky to hear the lectures of ANdrew Ng. This course has given me answers for my many unsolved problems. Looking forwards to complete the last course in deep learning specialization

Really nice course to understand the basics of ConvNets. I helps you get an intuition about the latest developments in computer vision and helps you build a strong foundation in the same.

One of the best courses!

The videos are clear and straight-to-the-point and the practice questions and assignments are very useful to solidify the understanding of the concepts.

It was fun!

What a fantastic course! I am particularly pleased that the course provided references to seminal papers in CNN research. Coursera, carry on the great work of delivering quality training!

I have no words other than always thinking "why did i miss this so long", it cleared lot of concepts where i am very confused previously on CNN. I need more courses from Andrew.. please..

The best of the courses so far. One of the most complete courses about Convolutional Neural Networks I´ve ever listen to. Clear explanations and very interesting and exciting assignments!

Awesome course ever. special thanks to Andrew .. I would love to hear more CNN and computer vision based courses from courses particularly with tensorflow, openCV and more. thanks a lot.

[1] Decently organized assignments [2] Andrew deals with important topics about convolutional neural networks. [3] Numpy, Tensorflow, and Keras are the required libraries in this course.

It's not easy, but it's awesome to understand all aspects of Convolutional Neural Networks. From Facial Recognition to Object and Landmark recognition. I strongly recommend this program.

Really good course, helped me a lot theoretically. For practical implementation, I would suggest looking at technical papers and trying to implement them yourselves using some framework.

Could be a bit better in letting the students implement the algorithms than just coding up the helper functions. (ask us to code the algo then import the pre trained weights to predict).