KM
Jul 20, 2023
Helped me clarify the some of key principles and theories behind GAN and bit of history... The references/additional study materials are very useful, if you want to dig deep into. Overall very pleased
HL
Mar 10, 2022
Great introductory to GANs, focused on the building blocks to neural net/ GANs, and a bit of frequently used models. Might need a small update on what's considered "state-of-the-art" in the course.
By Sanjay K
•Apr 25, 2022
The Teacher is awesome the way she explains the concepts through great examples. I wish the exercises were a little bit more handson and independent (most of the code structure is already there).
By Greg H
•Aug 24, 2022
Great material. At times, I think there wasn't enough explanation to get the right answers for the assignments, I needed to guess at times and not completely understand what was going on.
By Cameron M
•Oct 6, 2020
Great intro course, the programming assignments were pretty weak in difficulty level, could have had less hand holding there. Excited to get into more high resolution GANs soon!
By Mahmoud T S
•Dec 6, 2020
A little lacking in technical knowledge. You just get to build a GAN and understand bits and pieces about why it works in very simple terms, little mathematics involved.
By handy-mat
•Feb 12, 2023
Lectures were clear, focused & informative. Assignments were well-formed with extremely helpful hints & explanations of the code to be completed. Nice work!
By Deleted A
•Oct 16, 2020
Great course to start building GANs.
I wish more math was included. I realize the math behind this is very complex, and not everyone wants to know about that.
By Shawn
•Nov 28, 2021
Great examples. Wish there were more reading material that bridged the gap between the papers (very detailed) and the slides (good for exposure to material)
By John F
•May 15, 2022
An excellent course. The only area of improvement I can think of would be to get better intuition on the tensor shapes through the model building code.
By Heinz D
•Oct 13, 2020
Great: a motivating teacher and well-structured learning material. It would be cool to provide the slide sets and to eliminate the need to use Slack.
By Rob B
•Apr 7, 2021
Excellent example code and assignments. Overall great course, only suggestion but would be adding a little more depth in the lecture topics.
By Jonas B
•Dec 2, 2020
Good and quite quick course. Assignments very focused on the innovation of the week, which makes them very short and not very demanding.
By Ranajit S
•Oct 14, 2020
The course was too good and knowledgable. But I felt the loss calculation of the disentanglement should have been explained in detail.
By Laiba T
•Jan 5, 2021
There should be some explanation of the assignment's code. The lectures were precise and intresting. I like it. It was informative.
By Priyank N
•Oct 23, 2020
Sharon Nailed it on the insights and the intutions behind every concept discussed and their visual and crisp clarity reasonings
By Michael M
•Oct 19, 2021
often felt I could infer what to do an assignment without understanding why I was doing it but generally great course content
By Aleksei
•Nov 21, 2020
A very good course to understand the basics of how GANs work, but sometimes mathematical explanations were lacking
By Arunava M
•Jan 14, 2021
I think the videos could have been a bit longer and more technically detailed, nonetheless an enjoyable course!
By Siddharta M
•Apr 9, 2023
It's a great course. However it would have been better if there were more videos to explain the coding part.
By Nicholas M C
•Mar 2, 2021
It would be better if the assignments provided much less of the code, so that people could struggle more.
By Mahmoud S E
•Jun 11, 2022
Critic lessons need to be explained more in details. but overall great course with great instructor.
By ROCHETTE P
•Mar 26, 2024
Great, missing more details on how to tune but explanations are very clear and labs are top quality
By Suvojyoti C
•Dec 3, 2020
Very exciting course content! Only if could give a primer on PyTorch - that would be awesome
By Harry_G
•Jan 21, 2023
The content is good for beginners who have little background, but the practice is too easy
By Yudun W
•Dec 18, 2020
A very easy to understand guide for those who are interested in how GAN generally works!
By Aishwarya S M
•May 31, 2023
The course was so useful. Excited to complete the next one and learn more about GANs.