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.
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.
By Philip L
•Jul 24, 2019
The lectures were excellent, but many of the exercises and quizzes had "issues" that wasted a lot of time. You need to spend a LOT of time on the internal forums for this course.
By Jakob E
•Jun 2, 2019
Great content and superb videos. The assignments are becoming exponentially more challenging if one is not familiar with Tensorflow as the intro on that framework is rather short.
By Alon M
•Dec 10, 2017
great lectures.
yet there are some places to improve :
1) the assignment are harder (which could be good) yet they are hard by being less clear
2) there are some bugs in the grader
By Robert C
•Jun 1, 2020
Good content, I learned a lot. Just one thing, the programing assignments need to be updated to tf > 2.0. Currently running 1.2.1 (released on Jun 30, 2017) in week2 and week4.
By Amit R
•Jan 29, 2019
I wish to rate this 4.5 out of 5. Some descriptions (eg: YOLO alogrithm) are less elaborate or may be I found it difficult to understand. Overall, it is a very good course. :-)
By Keith N
•Nov 30, 2017
Good course but lots of technical issues with grading of programming assignments. Did not see these issues in previous courses. Maybe more background on tensorflow is needed.
By Haosen G
•Jan 20, 2021
A bit difficult for people who don't have too much coding experience, especially those who are not familiar with using open-source packages, reading documentation by their own
By Rangappa N
•Aug 10, 2020
It would be more helpful and beneficial if there is a deeper explanation for the network architectures involving the forward propagation, backward propagation and optimization
By Mark G
•Aug 8, 2019
Another very good course, only marred by the problems with running the final 'Happy House' face recognition notebook of week 4: the values did not seem to load into the model.
By Vinicius J S
•Aug 28, 2018
The course is good but the grades has severa errors - I spent a lot of time to understand what was wrong with my submissions - and was grade problem - consult always de forum.
By ashu a
•May 20, 2020
the course was good but the implementation of the code for style transfer could've been better it was a bit confusing apart from that the course was good and well constructed
By Vikram S
•Dec 29, 2020
Amazing course, providing a lot of insights in state of the art technology. One advantage might be to provide more hand-on in the programming exercises than just.a overview
By Giuseppe C
•Oct 25, 2019
Very good content and learning value. I would have given it 5 stars were it not for glitches I encountered in the material available including some of the Jupyter notebooks.
By Aakash G
•Mar 4, 2019
Completed some interesting assignments. Concepts are succinctly explained.
I think deploying these solutions in a real-world environment will show how well I have learned it.
By AKANSH M I L S
•Sep 29, 2019
The course is great no doubt however, after completing the course I still don't feel confident in writing code in tensorflow and Keras. Need practice to improve my fluency.
By Jerome B
•Jan 5, 2018
Very interesting content. Exercices are getting a bit messy, sometimes it's just not based on what has been learned coding-wise, sometimes there are issues with the grader.
By Steven S
•Nov 29, 2017
Phenomenal content, but frustrating problems with Jupyter Notebook. A determined programmer will get through those kinds of problems, but it definitely burned up some time.
By Daniel R B
•Jul 25, 2018
In content this is a 5 starts course but, there are issues grading the exercises that have being unfixed for quite a while... I hope they'll get fixed for future students.
By Arun p
•Dec 5, 2017
Nice Course on convolutional Neural Network. They could have used only one framework to complete the course assignments instead of switching between tensorflow and keras.
By henrik s
•May 3, 2020
Very good and well structured lectures. The assignments make you work through some very interesting problems, but there is not a lot room for creativity in the solutions.
By Francisco S
•Feb 23, 2020
I learned a lot. The tensorflow methods are not explained well enough (even if you did the previous courses of this specialization), and it still uses tf1 instead of tf2.
By Sven K
•Jun 7, 2019
All good, but something is amiss with the submission of the last week's Face recognition notebook. Use manual "Create submission" under "My submission" and then it works.
By Dmitry
•May 16, 2019
Great content. 2 hw exercises have some technical issues. E.g. hw4 Face Recognition doesn't teach much content but has a lot of bugs wasting time on it more than needed.
By vishnu v
•Dec 9, 2017
Great course, I would have liked it better if assignments were bit more difficult and also could have dig deeper into fewer CNN techniques rather than skimming over many.
By Shilin G
•Jul 26, 2019
Great course. Kind of getting difficult at week 3-4, especially week 4. Probably needs to be more familiar with TensorFlow in order to handle the programming assignment.