Sep 02, 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.
Dec 12, 2019
Great Course Overall\n\nOne 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.
By Sebastiano B•
Oct 21, 2019
Exercises were purposly difficult because of obscure API documentation and quirks (not because the problem itself was difficult). Good school in debugging, I personally disagreed with it (V3 if I remember correctly).
By Rob W•
May 14, 2018
Enjoyed the course but the programming assignments weren't well designed I think. They were more about debugging than applying what was learned. I preferred the assignments of the earlier courses of this curricilum
By Denys G•
Dec 04, 2017
The production of the course felt rushed, there are numerous clipping issues in the videos and a major bug in one of the assignments. Also, for such a key topic to be covered in only 4 weeks felt very shallow.
By Emanuel S•
Jan 22, 2018
Good explanations of the material but bugs in homework assignments and better explanations of tf usages is required for certain assignments. A refresher of tf via an additional assignment would've been nice.
By Daniel M d C•
Jan 27, 2018
Good insights on the YOLO algorithm as well as in Siamese networks and triplet loss. Miss some more deeper understanding both in the lectures and the assignments, but I totally recommend the course anyway.
By Ashwin m•
Jul 22, 2019
very good topics discussed ,facial recognition and facial verification assignments do not do justice to the complexity involved.practical knowledge gained is less compared to other modules prior to this.
By Carlos V•
Jul 17, 2020
The knowledge is good, and the techniques taught are valuable; however, having to use a deprecated version of TensorFlow is annoying and a lot of this will have to be re-learned to be put into practice.
By Hagay G•
Apr 26, 2019
Course is very informative.
Unfortunately, unlike other courses in the spec, there were quite a few bugs in the notebooks and they took quite a while to load due to the sheer weight of the models loaded.
By David v L•
Jan 02, 2018
Face recognition is a bit oversimplified, there is more to it that a simple accuracy metric. Priors are involved, which are included in the NN training, but should really be disassociated in evaluation.
By João G V•
Jan 23, 2020
In contrast to course 1 and 2, I've found the videos to be rather shallow (no pun intended), in the sense that, in my opinion, they haven't explained thoroughly the techniques' underlying mathematics.
By Joscha O•
Jan 03, 2018
This is a very interesting and well structured but the assignments in week 4 got alot of bugs, grading gives zero points for the right ouput (according to the notebook) and ten for a wrong one...
By Swaraj L•
Apr 04, 2020
The course starts normal but suddenly gets very confusing from the start of week 2. Also it gets a bit difficult to understand things later on. Otherwise its very good course and i enjoyed it
By George C•
Jan 15, 2018
Some frustrating issues with the week 4 assignments. I would also like some explanation on how to download all the related materials so I can play with the models later on my own machine.
By Michael A•
Jan 08, 2018
The programming exercises in week 4 have mistakes in them that have been reported over 2 months ago and still not fixed.
I would expect a payed course to exhibit a higher responsiveness.
By Mario S•
Jun 20, 2018
Content: good! state of the art!Lecture: to many cut mistakes of the videos such that many sentences are repeated.Exercises: content ok but notebook functionality and grader too buggy!
By Bashyam A•
Nov 25, 2017
The lectures were pretty good - however, the programming exercises were rather error-prone. Huge thanks to the Discussion Forum where other students had posted trouble-shooting tips.
By Roya K•
Dec 08, 2017
content was good,Yolo was hard and i still does not suggest,wasted too much time on exercises,when the answer was not match it passed! very bad experience with the exercise part.
By Till R•
Mar 07, 2019
Would have liked to learn more about why various architectural choices are made when building deep networks. The nitty-gritty details and Python exercises were a little boring.
By Mostafa M•
Aug 30, 2019
The last week (week 4) was not explained in enough detail. I was often frustrated because i was finding myself not fully understanding the concepts because of missing details.
By Claire L•
Mar 04, 2018
Content was great but the grading issues with the homework assignments made this course very time consuming and frustrating. Will recommend it when grading issues are fixed.
By Aditya K•
Apr 16, 2020
The theory part is outstanding, concepts explanation is great but the programming assignments are not updated to TensorFlow 2.x that's an issue else everything was nice.
By Marco L S•
Dec 10, 2019
I hoped there would have been a more theoretical explanation and also talks about why some nets are done in this way rather than another; it seems like it's all magic.
By Arjun V•
Mar 18, 2020
Liked the concepts overall. The tieing up of basics concepts across different use cases could've been better explained from first principles and for better intuition.
By Amit A•
Sep 02, 2020
Andrew Sir explanation is awesome, but please do explain concepts in videos also, as some programming assignments contain data, info that we are not having knowledge
By Sebastien M•
Aug 01, 2018
I spend 1 week on the last assignment due of one bug. I am disappointed but the content of the course was good. Please next time react faster for correcting bugs