Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

Andrew still teaches great!

The programming exercises sometimes have trouble with loading databases (sometimes takes like 10 minutes to complete loading), and the kernel sometimes crash for no reason.

Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.

For me personally it's the best course in Deep Learning specialization. Well structured, interesting projects, good examples! The only thing that could be better is to use Tensorflow 2 instead of 1.0

This was by far the most challenging and difficult course in the specialization but also the most informative and useful from the perspective of the application side of Deep Learning! Thanks, Andrew!

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

very easy to understand and helped my understanding in Deep Learning-based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).

As far as I'm concerned, from this course, I learned many thing about convolution neural network. I also know the history about the development of CNN and some classical convolution neural network .

The videos were very good. I came into the course knowing a bit from doing my own readings and the material covered in the course really helped me understand how convolutional neural networks work.

Andrew is one of the best lecturers in the world.

The organization of the lecture is simple but intuitive.

It covers most ingredients of convolutional neural networks for computer vision applications.

Elated to have spent several weeks on such a wonderfully constructed course. Wonder if ther future versions will include SOTAs like mobile networks and efficientnets... Thank you very much, Dr. Ng!

This is a very good course to learn about Convolutional Neural Networks. It helps to keenly understand the concepts of CNN and their implementations. Thank you Coursera for offering me this course.

A big thank you to Professor Andrew and his team for structuring this course and introducing the world of ConvNets to me. I found the video lectures easy to understand and the exercises intriguing.

As before this is one of the great couses taught by Dr. Ng! It’s awesome that Dr. Ng provided many useful and classic CNN models as code assignments, which will be very helpful to the DL learners.

Giving 5 stars because the content is awesome as usual. Only point thing was that some of the content wasn't edited as it should have been (there were older takes included in parts of the videos).

This course was an excellent hands-on with CNN's. It provides a brief understanding as well as the implementation of these networks. I really enjoyed this course and the applications were amazing.

Very Excellent Course. I have learned a lot of very new networks and their implementation. I also practice Tensorflow and Keras here. In addition, I found the discussion board is very very useful!

Although this course isn't complete for practical purposes, it gives a comprehensive review of CNNs and all the other things required for starting with computer vision systems using deep learning.

Very robust introduction to Convolutional Neural Networks. The lessons are, as always, very concise and the programming exercises help consolidate anything that might have not been easily grasped.

An excellent course The exercises were in a particular value. Just one issue: the automatic grader: please, please make it a bit more robust to minor numerical differences and make it more verbous

This was the toughest of the four courses so far but for me was the most exciting! Andrew Ng gives you the codes in the assignments that you need to get started for state of the art applications.

Best course on CNN on coursera. You'll get Very deep knowledge and understanding of CNN after this course! (Not I am not paid for this, I am the real person who thinks this way about this course)

Great content. Excellent and productive exercises. A lot of fun in learning about ConvNets , object recognition, face recognition , and Neural Style Transfer. Thanks to Andrew for this great time