AV
Jul 11, 2020
I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch
RK
Sep 1, 2019
This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.
By Elena B
•Nov 16, 2017
I really enjoyed the course. Thanks a lot for interesting and clear video material as well as for the exciting programming exercise. I have learned a lot and will hope to be soon applying this knowledge in my field.
By Janith G
•Oct 7, 2019
Excellent Course. Programming exercises are really useful as they are mostly based on real world work done by experts. Thank you Prof. Andrew for trying to distribute knowledge on deep learning for students like us.
By chee y
•Apr 22, 2019
Very detailed and thorough course on CNNs. The difficult concepts are presented in an easy to understand manner and the practical exercises allow you to gain a better understanding of using the various CNN networks.
By Cristina N
•Dec 22, 2017
Well taught course, especially for those who want to develop some computer vision application with deep learning. The exercises in this course are a bit more complicated than the other courses of the specialization!
By David B
•Dec 3, 2017
As with the previous courses withing this specialization, this course delivers a pristine clear overview of this architecture both practically and theoretically. Excellent for getting on the ladder of deep learning.
By nicholas m
•Aug 11, 2021
Prof Andrew's teaching style is second to none and very engaging. I thoroughly enjoyed the course especially given my limited programming background. Certainly learned a lot and hope to complete more of his courses
By Elham A
•May 28, 2021
I really enjoy this course. It covers most important aspect of computer vision so that I can watch these training videos and do these assignments over and over again and learn a lot every time. Thank you very much.
By Saswat K P
•Aug 5, 2020
Awesome course. Learnt a lot from all the assignments and the video lectures. Lots and lots of concepts which really helped me learn the core components of building a CNN for different computer vision applications.
By Simon L
•Oct 2, 2019
Learned a lot in this course. Some exercises were very hard to complete for misc reasons though. So expect some frustration with getting the exercises done. I certainly had my moments of frustration along the way.
By Leah P
•Apr 24, 2021
Very informative. From basic builds of neural network to transfer neural network styles. every basic components are explained very beautifully. The instructor and the quizzes and assignments are well constructed.
By Abdulrezzak Z
•Feb 28, 2021
Amazing course. The course is very useful. The way the professor illustrate CNN and their uses makes you love this field. The applications you are going to do as well are REAL LIFE applications.
HIGHLY RECOMMENDED
By DEVANSHI K
•Sep 24, 2020
This was a very fun course, the most interesting so far in the specialization, probably because computer vision has so many day-to-day life applications. I learned a lot through this course and really enjoyed it.
By Aman K
•Jul 11, 2020
One of the most challenging courses in the deep learning specialization. You will get to learn really cool stuff however it would be really helpful if you practice a bit of TensorFlow before or during the course.
By Shahzad A K
•Apr 19, 2020
Excellent series of courses. Makes the mysteries of deep learning accessible to a lot of people who would otherwise be deterred by the cryptic nomenclature. Kudos to Andrew Ng and the entire deep earning.ai team.
By Rameses
•Dec 14, 2019
Very Fascinating Course. After taking this course got insight into computer vision applications. Especially fascinating were the sections on autonomous driving vehicles, neural style transfer and face recognition
By raj m
•Jun 17, 2018
Great content to provide you in-depth knowledge of some of the really great algorithms and techniques used in Computer Vision. The citation of papers on the lecture slides is really helpful to explore the topics.
By Anand R
•Mar 7, 2018
Excellent course with deep understanding . Had hard time to figure out many things on my own. I learned a lot. Thanks to Coursera for creating such a wonderful course, especially Andrew who is such good teacher.
By Davide C
•Dec 9, 2017
The course was really interesting. I was really looking forward to learn about ConvNets. Prof. Andrew Ng way of teaching is easy to understand, as usual. I am really satisfied by this course. Thank you very much.
By Yahia E
•Jul 15, 2019
Great course. I thought I understood how conv networks work, but this course made me realize a lot of details and tricks that I wasn't aware of. It also increased my confidence by reading state-of-the-art papers
By Yongli L
•Mar 27, 2024
definitely amazing. I love all Andrew's course. also thank you for the whole team putting so much effort in it. I couldn't help me finishing the whole course in one go. so charming and it makes me very excited.
By Mohammad S
•Oct 22, 2020
This is the best Course on CNN, I will learn such complex things in easiest way.
thanks to Deeplearning.ai and also huge thanks to coursera finential aid, because without that I could not learn such cool things.
By Bharat S S
•Sep 4, 2019
CNNs is a fantastic course for anyone who wants to understand how deep neural networks are used for complex image based tasks like object recognition and localization, classification and neural style transfer !
By Pedro H
•Dec 6, 2018
Beautiful depiction of convolutional neural networks: from the basic concepts, to their application in the context of computer vision. Great theoretical framework and application through thoughtful assignments.
By Supakrit B
•Apr 16, 2018
A must course to get start in Convolutional Neural Network and Computer Vision. The instructor is very superb, teaching with the right level of detail while using real-world problem to enhance an understanding.
By Joshua B
•Mar 26, 2018
Dr. Ng did a superb job going through the history of ConvNets. The examples, applications, and homework were wonderful, and I feel now much more skillfully able to read the scientific literature on the subject.