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 Mushfiqul A K
•Aug 20, 2020
Brilliantly designed course in its entirety. Learned loads from it and hoping to apply in projects soon. Can't show enough gratitude to the designers and of course the instructor, Sir Andrew Ng. Thank you.
By Adham
•Nov 13, 2019
Great course. I would suggest updating the libraries and thus the code since they are very old. When trying to run code on my computer I faced a lot of broken code due to differences in libraries versions.
By Rizdi A R
•Apr 22, 2021
The course delivered is meticulously organized, plus how it works in the view of mathematics . The way Andrew NG describing the networks added with some real cases makes the learning enjoyable. Thank you.
By Javier C
•Sep 2, 2020
In depth approach to a very complicated subject. Resources are amazing and as usual, Andrew Ng provides world class lectures. I always find myself amused by Andrew's very down to earth manner of teaching.
By Seth B
•Mar 11, 2020
One of the most interesting and challenging courses I've taken so far. The assignments for this course are awesome and practical, with great visuals. Style transfer and facial recognition are really cool!
By Weiran H
•Feb 8, 2020
Again, good starter-level course. You can gain a big picture of CNNs through this course, but you have to do many others things before you can really do something with them. I will take CS231n after this.
By Dimitry I
•Jun 25, 2019
Another great course in the in the Deep Learning specialization. Lots and lots of data is presented in small steps that make it easy to assimilate and apply. Thank you to Prof Ng and the rest of the team!
By ignacio v
•Oct 5, 2018
Andrew Ng must be the best teacher in all the moocWorld !
Great course, great practices
We only need a Reinforcement Learning course from him and, thus, a Deep Reinforcement Learning to infinity and beyond!
By Frantisek H
•Sep 4, 2020
Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.
By Hind A b
•Mar 27, 2020
very informative course with real life applications. the explanation is very clear and i really enjoyed doing the practical assignments. the only downside is that choices on quiz is little bit confusing.
By Joaquin T
•Mar 25, 2019
Superb course on CNN by Andrew Ng. Video lectures can be daunting at some points, mostly because of its dense theoretical content, though it provides a great background on how to start working with CNNs.
By Smriti P
•May 10, 2018
It is definitely a must for people who are new in this field and are interested in Deep Learning field. Gives you an insight into how CNN actually works and how anyone could take it to further improvise.
By Abdullah A M
•Dec 16, 2017
this is really deeeeeeep. among all 4 courses till now it seemed to be hardest one to me as well as most conceptual too. Thanks Andrew sir and Coursera for such a wonderful opportunity to learn about CNN
By Βασίλειος Ν
•Jul 8, 2021
Very good course. You understand how convolutional neural networks work. The amount of code you need to write is relatively small, and so this does not make the course intimidating, and it flows easily.
By Pawel S
•Aug 11, 2020
It is a great course, more interest than the previous in the specialization, but also more challenging. The best part of this courses are projects, face recognition is only one of the engaging projects.
By Octav I
•Dec 23, 2018
Great lectures, really well explained, assignments have a good balance for such a hard topic. Maybe another short intro/ optional assignment on keras generic model/layers/activation approach could help.
By Simhadri M
•Aug 18, 2018
Doing this course will help you understand the core concepts of CNNs clearly. Andrew has discussed most of the implementations that are widely used today. The Citation of papers and authors was helpful.
By Vitaly C
•May 21, 2018
The course is great, very good try to present CNNs as good as possible. The assignments grader behavior sometimes is strange, I would like to ask to check it and fix to prevent learners unusual efforts.
By Jan Z
•Jan 7, 2018
Awesome content, teaching very recent methods in an understandable way. Programming exercises are very well documented and fun to solve. Thanks for putting this course together deeplearning.ai, big fan!
By Alessio D M
•Dec 9, 2017
A very good course. Not too technical, but it provides you the tools and overall understanding framework to dive deep into convnets. As any other Andrew Ng's courses, I highly recommend taking this one.
By Mariusz N
•Feb 2, 2024
Exceptional! I could never have understood the underlying machinery solely through reading articles on the web, as I did by following this course. Andrew Ng is a godsend. I cannot appreciate it enough.
By Uğurcan A
•Mar 21, 2022
I am here again 3 years later. This course is really great. Even though I have gained much experience in deep learning and computer vision. I still use Andrew's advices. Thanks for this great resource.
By Jianxu S
•Jun 6, 2020
Another excellent course on deep learning of Convolution Neural Networks (CNN) widely used in computer vision, including easy to understand lectures and hands-on exercise with commonly used frameworks.
By Rooholla K
•Mar 5, 2020
I found this course extremely constructive and it was so cool to participate in a course where the instructors had put the materials and the assignments just in a right and logical order of difficulty.
By Fotis T
•Apr 7, 2021
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