Learner Reviews & Feedback for Build Basic Generative Adversarial Networks (GANs) by DeepLearning.AI
About the Course
Top reviews
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.
WM
Oct 1, 2020
The course provides good insight into the world of GANs. I really enjoyed Sharon's explanations which were deep and easy to understand. I really recommend this course to anyone interested in AI.
126 - 150 of 398 Reviews for Build Basic Generative Adversarial Networks (GANs)
By rashid a
•Aug 13, 2022
Really good to the point explanations. Conceptual understaing and background in Neural networks is expected.
By Bruno A d S
•Jan 16, 2021
I always found this subject confusing, today everything is easier and clearer. Great place to start studies.
By Vaseekaran V
•Jun 20, 2021
Really great introduction to GANs and this course serves as an amazing refresher for Deep Learning basics.
By Lorenzo S
•Mar 22, 2021
Such a great course to learn Gan design basic mechanisms: a good mix of high-level concepts, math and code!
By Paolo M
•Aug 15, 2021
Very helpful and suggestive! Graded assignements ask you to have a deep understanging of what is going on.
By Paul J L I
•Jan 31, 2021
This was a really great course, and the lectures presented really well. I learned a lot from this course.
By G.H L
•Apr 11, 2021
It was really helpful for building my deep generative modeling skills with details and mindful examples.
By Rohak S
•Feb 21, 2021
Amazing to see how the curriculum designers have distilled cutting edge resource into an online course
By SUMIT Y
•Nov 15, 2020
NIce course for those who want to start his/her journey towards GAN, and want to learn MAth behind it.
By Tung-Sheng H
•Mar 3, 2022
A great introduction! I can easily get the general concepts about basic GANs with affordable homework
By Tze C L
•May 19, 2021
An easy and friendly introduction to building your very own Generative Adversarial Networks (GANs).
By Sinan D
•Dec 23, 2020
Good course but better if you get Deep Learning and CNN courses beforehand to make this more sense.
By Stephen S
•Apr 3, 2022
Great course, I enjoyed the programming assignments and the topics, look forward to the next ones.
By Hitesh k B
•Oct 22, 2021
No prior background required, easy to understand notebooks, optional material for advance study :)
By Akhtar M
•Nov 14, 2020
It is awesome in many ways. The organization of this course makes you understand in a better way!
By Ljubiša P
•Dec 27, 2020
Excellent. I found some of the cited papers hard to follow, but I am assuming that is expected.
By long s
•Nov 3, 2020
Very clear instructions and easy to understand metaphors (and memes!) made this course a treat!
By Jorge A P
•Oct 26, 2020
Muy buen curso, el contenido es de alta calidad que permite entender los conceptos en detalle.
By Matt S
•Nov 2, 2020
Very clean explanations and programming exercises and love the knowledge checks in the videos.
By alon s
•Oct 9, 2020
thank you! it was great course, learned a lot. made me realize how much potential GAN's have.
By Hila M
•Dec 6, 2022
The lectures were very clear and orginized. Thank you very much.
Please add Hebrew subtitles.
By Jingjian W
•Nov 8, 2020
didn't expect to learn wgan and how it solve the unstable problem of gan. That is impressive
By Jean-Marie P
•Oct 25, 2020
Really interesting course. What was great was progressive increasing in difficult concepts.
By Timo “ J
•Feb 4, 2021
may be irrelevant, but absolutely love Sharons manners. Very vivid and pleasant to listen.
By Vitalii L
•Nov 20, 2020
Great work! And thank you for the assistance and communication (slack).I liked the course!
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