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 Venu V
•Dec 18, 2020
More help (and annotations) on the code beyond start/end blocks would help
By AlexanderV
•Oct 10, 2021
Nice course, however with a clear focus on computer vision applications.
By Niraj S
•Nov 17, 2020
Loving it so far. Kudos to Eda Zhou. She is an excellent instructor.
By Oguzcan B
•Mar 29, 2021
It was very sufficient way to learn Basics of GANs for me.
By Karan S
•Oct 22, 2020
It would have been nice to have the course in tensorflow.
By Samuel h
•Oct 9, 2020
hope the tasks could be more challenging with more hints.
By Ernesto D P H
•Sep 13, 2022
Great course, I learned a lot. Teacher goes a bit fast.
By Guorui S
•May 22, 2023
Pretty good, but I wish it could contain more detail.
By John U
•Feb 16, 2021
Great introduction to GAN's and a dive into PyTorch
By Mohamed M F
•Nov 9, 2020
course needs more math, but overall it is amazing.
By Thomson T G
•Feb 18, 2021
great but programming assignments felt too simple
By Joris G
•Feb 7, 2021
Exercises could have been a bit more challenging.
By Sanjay D
•Oct 1, 2020
Course concepts gets complicates as you progress.
By Luv b
•Oct 17, 2020
Good course. But still, I left with some doubts
By Abhishek K
•Aug 13, 2023
The instructor could have better pronunciation
By Rahul P
•Dec 24, 2020
Best Basic Course on Generative Models.
By yzhuang9
•Aug 16, 2021
Sharon's speech is a little bit fast
By Pavan C
•Jul 17, 2023
The instructor is very fast paced.
By SHARMILA V 2
•Dec 15, 2021
course was good and interesting
By Huaiwei C
•Dec 3, 2020
need more coding exercise!!!!
By Charles S
•Jul 7, 2023
Easy to follow.
By Huan T
•Oct 11, 2020
wunderbar
By MoChuxian
•Oct 13, 2020
nice !
By Pema W
•Dec 2, 2022
great
By Vikram N
•May 26, 2021
The course started well but went downhill in week 3. The videos, actually get shorter and the treatment provided to the material related to Wasserstein distance, 1-L Continuity, interpolation and other crucial topics is just superficial. There are not adequate number of quizzes to test yourself. There is insufficient mathematical rigour. And it is too easy to pass the graded assignments without actually understanding the material. The forums are somewhat dead and you need to go to the Slack rooms to ask questions. On slack, it is a case of people linking to other papers rather than providing simple, direct answers. Nobody knows anything for sure. Overall, there is a take-it or leave-it attitude in this course and it is a far cry from Andrew's original ML Course which made Coursera such an attractive learning destination. I do hope the course is improved over time by adding more quizzes, delving deeper into topics (it's okay to have long videos where the instructor explains things slowly) and providing a more mathematically satisfying experience where the foundations are made stronger.
On the positive aspects - the notebooks provided are an excellent starting point to begin your own explorations. And the material is cutting edge.