Very good and detailled course. Programming exercises are however a bit too short and sometimes multiple ways of programming can lead to different results.

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

Very elaborate concepts explained in a very simple and understanding manner. Many application points are covered, along with explaining research prospects.

The explanation was very clear and the programming exercises were well organized. I recommend this to anyone who is interested in learning computer vision.

The way Andrew Ng teaches about the convolutional neural network is unparalleled. This course will help you to go deeper into the world of computer vision.

The best course I've seen teaching CNN with very well-designed and interesting topics and assignment. MUCH better than fast.ai courses and Stanford CS231n.

Teaching method on applications of convolutional neural networks is really great again. I am counting on next course sequence models or recurrent networks.

Each course is even more awesome than the previous one!!!!

I hope deeplearning.ai release new specializations as great as these ones!!!

You guys rock!!!!!!!

The course not too descriptive but at the same time not superficial. It covered enough so that one can implement the CNN architectures with some framework

Excellent course on CNN. The concepts taught were excellent. Programming assignments gave better insights into the concepts taught in theory.Enjoyed a lot

I found this course incredibly useful for my future job. I'm going to work with tasks which is related with images. So that, CNN is what is needed for me.

It is a pleasure to learn from such a Machine Learning hero as Andrew Ng. Thank you very much for sharing this knowledge on Convolutional Neural Networks!

Fantastic content as usual. Especially had fun with the car object detection and the neural style transfer. Can't wait for Sequence Models! Thanks again!!

clear yolo's tutorial

clear overfeat's explanation and sliding window's convolutional implementation

clear inception module 's description

Useful home works

One of my favorite classes so far! Loved it! You need this class if you want to master Deep Learning and see what popularized Deep Learning to begin with!

If you have some knowledge about machine learning and deep learning, this course will place you in a good position to start your computer vision journey!

This course is very helpful for me. It helps me to understand the CNN works and i can use it with my application. Thanks all the teachers and professors

A very interesting and helpful course to understand the basics of CNN, implementation, state of the art models, and very intuitive explanations. 5 stars!

Probably the best course to get started with in the field of computer vision. Explanation of algorithms like YOLO, one shot learning, etc were very good.

Good course, it covers a lot of important topics in CNN.

I haven't got used to tf or keras yet, still struggling but the topics and concepts are ok to me.

Course gave me a lot of valuable knowledge. I think switching to tensorflow 2 would make code easier to understand. Especially in style transfer notebook

very Interesting courses allow students to understand deeply the concept of the most common architectures of the stat of art in CNN, thanks to professors

This course is great, it gives a general overview about architectures.

However, it is intense as it contains a lot of concepts that are extremely relevant

Its a wonderful course, covered all concepts in CNN and its various applications in real world. It was a great experience. Thank you team for this course

Great course, provides insights that I feel will really help in the real world, but is also a gentle introduction into the field of convolution networks.