AV
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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
SH
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Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.
By Argyn K
•Nov 6, 2017
A great course with many simple code samples using tensorflow and Keras. The only issue was that instructors do not participate in the forums. Otherwise the content quality was excellent
By Betiana F
•May 3, 2020
Great course but in comparison with others of the specialization, the exercise did not leave that much as before.
Too focused on lines and not on the whole implementation of the ConvNet
By Ignacio L
•Mar 13, 2021
The content is awesome, but using the old version of tf is not the best and obscures from the objective of either understanding the mechanics completely or creating CNNs with freedom.
By Renjith R K
•Dec 8, 2020
Andrew Ng's simple explanation of complicated concepts lets you grasp concepts that require hour-long reading of research papers in a few minutes, Assignments could be more elaborate.
By Lennard S B
•Jul 12, 2020
Der Kurs hat mir sehr geholfen und war Zeitlich gut zu schaffen.
Bei den Programmieraufgaben hätte ich mir ein paar beispiele gewünscht, um schneller in die Syntax einsteigen zu können.
By Tulip T
•Sep 13, 2019
It can be so much better if Andrew covers some more overviews. But it is still a great course and everyone should take it. Andrew gives the most understandable lessons about Yolo ones.
By chandrashekar r
•Feb 6, 2019
The first week was good and well presented. From the 2nd week onwards it as very cryptic. In the final week, on what are deep conv nets are learning, more details could have been given
By Tristan G
•Nov 22, 2018
I feel some of the theory was rushed here and high level functions used instead of explaining some of the more difficult concepts in the papers referenced, such as the Inception paper.
By Thomas C
•Jul 11, 2018
Good course, gives you a rough overview of popular CNN architectures and the basics of how they work. Assignments are easy but give you a chance to apply some of the stuff you learned.
By Arun
•Jun 12, 2018
The content was great, as usual, from Prof. Ng. But I wasted a lot of hours trying to make the programming assignment submissions, since auto save in IPython Notebooks kept on failing!
By Boyu L
•Feb 1, 2018
Minus one star for the assignment issue (triplet loss) for Week 4, this is a bit beyond acceptable considering how long the issue has evidently been there. Otherwise, stellar content.
By andrew w
•Feb 7, 2021
Excellent content and explanations as usual. A small criticism for this course compared with the previous three is that the videos have clips of repeated content due to strange cuts.
By Debdeep P C
•Jun 13, 2019
Course content was good,but grader needs to be updated as in many cases I had to submit assignments manually by uploading it,as the grader wasn't working.Everything else was good. :)
By Alysha R
•Jan 3, 2018
Weird grader error on the week 4 assignment in triplet_loss function -- had to put axis=None instead of axis=-1, which is wrong (and contrary to the directions) -- needs to be fixed.
By Cristian M V V
•Mar 21, 2021
Great course. Very good and simple explanations of complex topics. The 4 is just for the sake I hoped for a deeper dive into Tensorflow and how everything changes with Tensorflow 2.
By Pablo C
•Dec 1, 2017
The problem with the triplet loss function and the grader was not solved until Dec 1st. This was misleading me, and, in order to grade fully I wrote a wrong version of the function.
By Guenther W
•Jul 24, 2020
A clear presentation of difficult problems and I love working with the notebooks. However meanwhile most of the tensorflow documentation hyperlinks within the notebooks are broken.
By Paul F G
•Aug 21, 2019
This course was of the same high quality and detail of the first three, but the last project was difficult due to bugs in the python code. This definitely needs to be fixed please.
By Anushan F
•Feb 4, 2018
The grader didn't work correctly on the final assignment. Course content was both really interesting and well explained though. Thanks very much for putting together these courses!
By Yan F
•Dec 10, 2017
The content and lectures are still great. But the assignments and graders have a few bugs. I guess it's because of the insufficient preparing time. However, I did learn what I need
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.