People talks about convolutions, but not everyone understand how it works. This course helps you to understand what a convolution layer does, and even build it from scratch!

I learnt lot of things about CNN. Now, I have the confidence that I can setup a CNN if required for my work. Also looking at its use case other than images was interesting.

Extremely well-explained and detailed nuances of the various networks gives us a great boost to start reading the papers referred and applying the concepts in various tasks.

The assignments are phenomenal covering real papers such as yolo, resnet, facenet ect. There were a few bugs with the assignments but those will be corrected soon I suspect.

I really enjoy these assignments! Hope they could be more detailed, such as including all functions, so that I could build a complete model from scratch. Thank you so much!

The best you can get is being delivered through this course. And as everyone already knows that Andrew Ng is the best mentor there is, so I don't need to elaborate on that.

Made me confident about the concepts of convolutional neural networks. I think anyone who wants to learn about cnn with great and develop intuition must opt for this course

Well designed and structured course to learn about convolutional neural networks. Real life applications are introduced in this course. I learnt a lot from the assignments.

Very interesting and understandable! I believe, that even a person who has never heard about ML/DL will understand the topic. Andrew Ng's courses are the best in the field!

Very much thankful to Coursera for bringing recent technology on object detection, localization and facial recognition as subject matter to interested scholars and readers.

Great course ! Many thanks to everybody who worked hard to put it together !

I wrote a "review" on LinkedIn:

https://www.linkedin.com/posts/activity-6869988583508332544-eNo0

Excellent course with very wide coverage of topics in CNN. I was able to utilize the knowledge gained from this course to an entirely different business/technical problem.

First one in the sequence that was a bit challenging. Andrew gave his usual great explanation and the programming exercises were very motivational as well as instructive.

Ótimo curso para quem deseja aprender as noções básicas de visão computacional. Apresenta alguns modelos mais complexos, entretanto, foca mais na parte trivial dos mesmos.

It was a great course, i learnt many things and basically how we can implement computer vision using Deep learning principles. Thank You Andrew Ng for such a great course.

Really concise and insightful course. The assignments and quizzes really help you recapitulate and better understand what's taught in the videos. No complaints whatsoever.

Cool projects! The image one is interesting but runs too slow on cpu to play with. Also you need to really remember your tensorflow session running for some of the tasks.

The course is great, only one thing is missing which is more hands-on projects, not just one per week.

Oh, and it also missed OpenCV. Other than that, top in class content.

This is my first Coursera Course and I am very happy to complete this. The content is varied and Andrew teaches the course very intuitively. His lectures are never boring.

Great course for those who would like to improve their computer vision skills. Perfect mix of usage of keras and tensorflow api. Best course so far in this specialization.

taught very impressive materials in Convolutional Neural Network. Get me through the basic concept of some important algorithms and techniques. Good course for beginners!

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!