RS
Dec 11, 2019
Great Course Overall
One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.
OA
Sep 3, 2020
Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.
By Dave P
•Jan 16, 2018
Very useful. Fascinating how straight-forward it is to build a CNN to do object detection and face recognition/validation.
By Jorgen C
•Oct 7, 2023
This course helped me understand Convolutional Neural Networks well and the Programming Exercise were informative and fun!
By Rakibul H R
•May 20, 2023
This course is to level of my expectation. I hope, very recently I will be able to avail myself in an advanced CNN course
By Mostafa S
•Sep 20, 2020
The best CNNs course for beginners GREAT instructor (Andrew Ng), it was a great journey and I am very happy to take it :D.
By Mohammed K
•Aug 26, 2020
Very good course. Learnt a lot of new things. Thank you Andrew Ng for explaining such a complex subject in simple english.
By P. S S
•Jul 30, 2020
Great course content and practical assignments, which help in understanding the concepts better. And, an amazing teacher!!
By Sparsha D
•Sep 11, 2019
Beautiful course work. Just loved it..Please include mid questions. It was very helpful in learning the content very well.
By Jinxiang R
•Jun 9, 2019
I'm so grateful that I learn a lot from this course, thank you again for Andew and his team for preparing such good course
By Agri A
•May 17, 2019
Prof. Andrew Ng, along with the team, successfully deliver advanced level course that is thorough, yet easy to understand.
By Ignatovich A
•Oct 2, 2018
A great course for those who are already familliar with some mathematical concepts and would like to know more about CNNs.
By Wei-Lin C
•Sep 19, 2018
The content is really useful but the assignment could be more challenge and maybe add a tutorial of Keras and Tensor flow.
By Kun W Y
•Mar 4, 2018
Very good course, though the implementation of CNN back-propagation isn't explained very clearly in the video lectures. :3
By Prasanna K
•Nov 25, 2017
Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.
By Jose M
•Jul 12, 2020
Very useful knowledge to apply on a real environment. Clear information and well explained. Well done Andrew Ng and team!
By Yash K S
•May 24, 2020
Excellent course to learn the basics of Convolutional Neural Networks. Highly recommended for all beginners in the field!
By Vishwaraj S
•May 17, 2020
this was a really great experience learning computer vision to this extent from zero to large extent thanks coursera team
By Rafael E
•Jan 19, 2018
Awesome course!
I started with this one, and look forward to completing all the other courses in the DL specialization!
By Richard H
•Dec 8, 2017
Excellent bridge between the earlier courses on concepts and practices into practical use cases using cutting-edge tools.
By Mohit G
•Nov 28, 2017
Very informative course. Made it easy to understand complex concepts of CNN. I am very happy after finishing this course.
By Anant G
•May 12, 2021
Its an excellent course, it has opened my mind in a different way towards understanding of convolutional neural networks
By Manuel R
•Feb 5, 2021
Great Course. It is interesting to learn how Convolutional Neural Networks allows us to reduce computational parameters!
By Isuru A
•Jan 12, 2021
Superb course, I love the way how Prof. Andrew explains the stuff. Looking forward to complete the entire specialization
By Rishabh M
•May 12, 2020
its really deep .A well designed course with a great tutor .A great course to start with easy and efficient explanations
By BlueBird
•Sep 5, 2019
Thank Professor Andrew Ng for offering this course. It has helped me understand the basic principles of Computer Vision.
By Joshua P
•Aug 27, 2018
Phenomenal, well instructed, and assignments give you both the experience and the inspiration to apply CNNs on your own.